The data is contained in three files:
portfolio.csv - data about offers sent to customers (10 offers x 6 columns)
profile.csv - demographic data of customers (17,000 customers x 5 columns)
transcript.csv - customer response to offers and transactions made (306,648 events x 4 columns)
# Importing and reading the Datasets
df_cust_offer<-read.csv("data/transcript.csv")
# df_cust_offer <- df_cust_offer[, -1]
head(df_cust_offer)
## X person event
## 1 0 78afa995795e4d85b5d9ceeca43f5fef offer received
## 2 1 a03223e636434f42ac4c3df47e8bac43 offer received
## 3 2 e2127556f4f64592b11af22de27a7932 offer received
## 4 3 8ec6ce2a7e7949b1bf142def7d0e0586 offer received
## 5 4 68617ca6246f4fbc85e91a2a49552598 offer received
## 6 5 389bc3fa690240e798340f5a15918d5c offer received
## value time
## 1 {'offer id': '9b98b8c7a33c4b65b9aebfe6a799e6d9'} 0
## 2 {'offer id': '0b1e1539f2cc45b7b9fa7c272da2e1d7'} 0
## 3 {'offer id': '2906b810c7d4411798c6938adc9daaa5'} 0
## 4 {'offer id': 'fafdcd668e3743c1bb461111dcafc2a4'} 0
## 5 {'offer id': '4d5c57ea9a6940dd891ad53e9dbe8da0'} 0
## 6 {'offer id': 'f19421c1d4aa40978ebb69ca19b0e20d'} 0
print("The structure of Transcript:")
## [1] "The structure of Transcript:"
str(df_cust_offer)
## 'data.frame': 306534 obs. of 5 variables:
## $ X : int 0 1 2 3 4 5 6 7 8 9 ...
## $ person: chr "78afa995795e4d85b5d9ceeca43f5fef" "a03223e636434f42ac4c3df47e8bac43" "e2127556f4f64592b11af22de27a7932" "8ec6ce2a7e7949b1bf142def7d0e0586" ...
## $ event : chr "offer received" "offer received" "offer received" "offer received" ...
## $ value : chr "{'offer id': '9b98b8c7a33c4b65b9aebfe6a799e6d9'}" "{'offer id': '0b1e1539f2cc45b7b9fa7c272da2e1d7'}" "{'offer id': '2906b810c7d4411798c6938adc9daaa5'}" "{'offer id': 'fafdcd668e3743c1bb461111dcafc2a4'}" ...
## $ time : int 0 0 0 0 0 0 0 0 0 0 ...
df_offers<-read.csv("data/portfolio.csv")
df_offers<- df_offers[, -1]
head(df_offers)
## reward channels difficulty duration offer_type
## 1 10 ['email', 'mobile', 'social'] 10 7 bogo
## 2 10 ['web', 'email', 'mobile', 'social'] 10 5 bogo
## 3 0 ['web', 'email', 'mobile'] 0 4 informational
## 4 5 ['web', 'email', 'mobile'] 5 7 bogo
## 5 5 ['web', 'email'] 20 10 discount
## 6 3 ['web', 'email', 'mobile', 'social'] 7 7 discount
## id
## 1 ae264e3637204a6fb9bb56bc8210ddfd
## 2 4d5c57ea9a6940dd891ad53e9dbe8da0
## 3 3f207df678b143eea3cee63160fa8bed
## 4 9b98b8c7a33c4b65b9aebfe6a799e6d9
## 5 0b1e1539f2cc45b7b9fa7c272da2e1d7
## 6 2298d6c36e964ae4a3e7e9706d1fb8c2
print("The structure of Portfolio:")
## [1] "The structure of Portfolio:"
str(df_offers)
## 'data.frame': 10 obs. of 6 variables:
## $ reward : int 10 10 0 5 5 3 2 0 5 2
## $ channels : chr "['email', 'mobile', 'social']" "['web', 'email', 'mobile', 'social']" "['web', 'email', 'mobile']" "['web', 'email', 'mobile']" ...
## $ difficulty: int 10 10 0 5 20 7 10 0 5 10
## $ duration : int 7 5 4 7 10 7 10 3 5 7
## $ offer_type: chr "bogo" "bogo" "informational" "bogo" ...
## $ id : chr "ae264e3637204a6fb9bb56bc8210ddfd" "4d5c57ea9a6940dd891ad53e9dbe8da0" "3f207df678b143eea3cee63160fa8bed" "9b98b8c7a33c4b65b9aebfe6a799e6d9" ...
df_cust<-read.csv("data/profile.csv")
df_cust<- df_cust[, -1]
head(df_cust)
## gender age id became_member_on income
## 1 118 68be06ca386d4c31939f3a4f0e3dd783 20170212 NA
## 2 F 55 0610b486422d4921ae7d2bf64640c50b 20170715 112000
## 3 118 38fe809add3b4fcf9315a9694bb96ff5 20180712 NA
## 4 F 75 78afa995795e4d85b5d9ceeca43f5fef 20170509 100000
## 5 118 a03223e636434f42ac4c3df47e8bac43 20170804 NA
## 6 M 68 e2127556f4f64592b11af22de27a7932 20180426 70000
print("The structure of Profile:")
## [1] "The structure of Profile:"
str(df_cust)
## 'data.frame': 17000 obs. of 5 variables:
## $ gender : chr "" "F" "" "F" ...
## $ age : int 118 55 118 75 118 68 118 118 65 118 ...
## $ id : chr "68be06ca386d4c31939f3a4f0e3dd783" "0610b486422d4921ae7d2bf64640c50b" "38fe809add3b4fcf9315a9694bb96ff5" "78afa995795e4d85b5d9ceeca43f5fef" ...
## $ became_member_on: int 20170212 20170715 20180712 20170509 20170804 20180426 20170925 20171002 20180209 20161122 ...
## $ income : num NA 112000 NA 100000 NA 70000 NA NA 53000 NA ...
#Checking for the Missing values in each column of the dataframes
cust_offer_missing_values <- colSums(is.na(df_cust_offer))
print("Missing values in transcript:")
## [1] "Missing values in transcript:"
print(cust_offer_missing_values)
## X person event value time
## 0 0 0 0 0
offers_missing_values <- colSums(is.na(df_offers))
print("Missing values in portfolio:")
## [1] "Missing values in portfolio:"
print(offers_missing_values)
## reward channels difficulty duration offer_type id
## 0 0 0 0 0 0
df_cust$gender[df_cust$gender == ""] <- NA #Filling empty spaces with NA values
cust_missing_values <- colSums(is.na(df_cust))
print("Missing values in profile:")
## [1] "Missing values in profile:"
print(cust_missing_values)
## gender age id became_member_on
## 2175 0 0 0
## income
## 2175
missing_gender <- df_cust[is.na(df_cust$gender), ]
missing_income <- df_cust[is.na(df_cust$income), ]
sum(missing_gender$id == missing_income$id)
## [1] 2175
#Checking count of missing values if they are from the same observations
missing_gender_and_income <- sum(is.na(df_cust$gender) & is.na(df_cust$income))
print("Count of missing values in both gender and income:")
## [1] "Count of missing values in both gender and income:"
print(missing_gender_and_income)
## [1] 2175
# Identify 'id' values to remove
id_to_remove <- missing_income$id
# Create a new dataframe without the rows where 'id' is in 'id_to_remove'
df_customer_no_na <- df_cust[!df_cust$id %in% id_to_remove, ]
# Reset the row indices
rownames(df_customer_no_na) <- NULL
# Display information about the resulting dataframe
str(df_customer_no_na)
## 'data.frame': 14825 obs. of 5 variables:
## $ gender : chr "F" "F" "M" "M" ...
## $ age : int 55 75 68 65 58 61 26 62 49 57 ...
## $ id : chr "0610b486422d4921ae7d2bf64640c50b" "78afa995795e4d85b5d9ceeca43f5fef" "e2127556f4f64592b11af22de27a7932" "389bc3fa690240e798340f5a15918d5c" ...
## $ became_member_on: int 20170715 20170509 20180426 20180209 20171111 20170911 20140213 20160211 20141113 20171231 ...
## $ income : num 112000 100000 70000 53000 51000 57000 46000 71000 52000 42000 ...
#There are no NA values in df_customer_no_na
sum(is.na(df_customer_no_na))
## [1] 0
missing_gender_and_income_together <- df_cust[is.na(df_cust$gender) & is.na(df_cust$income), ]
head(missing_gender_and_income_together)
## gender age id became_member_on income
## 1 <NA> 118 68be06ca386d4c31939f3a4f0e3dd783 20170212 NA
## 3 <NA> 118 38fe809add3b4fcf9315a9694bb96ff5 20180712 NA
## 5 <NA> 118 a03223e636434f42ac4c3df47e8bac43 20170804 NA
## 7 <NA> 118 8ec6ce2a7e7949b1bf142def7d0e0586 20170925 NA
## 8 <NA> 118 68617ca6246f4fbc85e91a2a49552598 20171002 NA
## 10 <NA> 118 8974fc5686fe429db53ddde067b88302 20161122 NA
#Checking the columns with numerical data
cust_numcols <- names(df_customer_no_na)[sapply(df_customer_no_na, is.numeric)]
head(cust_numcols)
## [1] "age" "became_member_on" "income"
#Converting became_member_on to datetime format
df_customer_no_na$became_member_on <- as.Date(as.character(df_customer_no_na$became_member_on), format = "%Y%m%d")
head(df_customer_no_na)
## gender age id became_member_on income
## 1 F 55 0610b486422d4921ae7d2bf64640c50b 2017-07-15 112000
## 2 F 75 78afa995795e4d85b5d9ceeca43f5fef 2017-05-09 100000
## 3 M 68 e2127556f4f64592b11af22de27a7932 2018-04-26 70000
## 4 M 65 389bc3fa690240e798340f5a15918d5c 2018-02-09 53000
## 5 M 58 2eeac8d8feae4a8cad5a6af0499a211d 2017-11-11 51000
## 6 F 61 aa4862eba776480b8bb9c68455b8c2e1 2017-09-11 57000
# Save checkpoint after data cleaning
customers <- data.frame(df_customer_no_na)
#Drop the unnecessary first Column in transcript
# df_cust_offer <- df_cust_offer[, -1]
head(df_cust_offer)
## X person event
## 1 0 78afa995795e4d85b5d9ceeca43f5fef offer received
## 2 1 a03223e636434f42ac4c3df47e8bac43 offer received
## 3 2 e2127556f4f64592b11af22de27a7932 offer received
## 4 3 8ec6ce2a7e7949b1bf142def7d0e0586 offer received
## 5 4 68617ca6246f4fbc85e91a2a49552598 offer received
## 6 5 389bc3fa690240e798340f5a15918d5c offer received
## value time
## 1 {'offer id': '9b98b8c7a33c4b65b9aebfe6a799e6d9'} 0
## 2 {'offer id': '0b1e1539f2cc45b7b9fa7c272da2e1d7'} 0
## 3 {'offer id': '2906b810c7d4411798c6938adc9daaa5'} 0
## 4 {'offer id': 'fafdcd668e3743c1bb461111dcafc2a4'} 0
## 5 {'offer id': '4d5c57ea9a6940dd891ad53e9dbe8da0'} 0
## 6 {'offer id': 'f19421c1d4aa40978ebb69ca19b0e20d'} 0
#check transcript data frame data types
df_cust_offer_dtypes <- sapply(df_cust_offer, class)
print(df_cust_offer_dtypes)
## X person event value time
## "integer" "character" "character" "character" "integer"
library(dplyr)
## Warning: package 'dplyr' was built under R version 4.2.3
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
# Convert time in hours to number of days
df_cust_offer <- df_cust_offer %>%
mutate(
days_elapsed = time / 24, # Add a new column for days
hours_elapsed = time # Rename time to hours_elapsed
) %>%
select(-time) # Remove the original time column if needed
#Rename columns
colnames(df_cust_offer)[colnames(df_cust_offer) == "person"] <- "customer_id"
tail(df_cust_offer)
## X customer_id event
## 306529 306528 5ca2620962114246ab218fc648eb3934 transaction
## 306530 306529 b3a1272bc9904337b331bf348c3e8c17 transaction
## 306531 306530 68213b08d99a4ae1b0dcb72aebd9aa35 transaction
## 306532 306531 a00058cf10334a308c68e7631c529907 transaction
## 306533 306532 76ddbd6576844afe811f1a3c0fbb5bec transaction
## 306534 306533 c02b10e8752c4d8e9b73f918558531f7 transaction
## value days_elapsed hours_elapsed
## 306529 {'amount': 2.2} 29.75 714
## 306530 {'amount': 1.5899999999999999} 29.75 714
## 306531 {'amount': 9.53} 29.75 714
## 306532 {'amount': 3.61} 29.75 714
## 306533 {'amount': 3.5300000000000002} 29.75 714
## 306534 {'amount': 4.05} 29.75 714
df_offersAdd an alias to each offer for easier recognition and referencing.
# Load required library
library(dplyr)
# Sort df_offer by offer_type and difficulty
df_offers <- df_offers %>%
arrange(offer_type, difficulty) %>%
mutate(index = row_number()) %>%
select(-index)
# Add the offer_alias column
df_offers$offer_alias <- LETTERS[1:nrow(df_offers)]
head(df_offers)
## reward channels difficulty duration offer_type
## 1 5 ['web', 'email', 'mobile'] 5 7 bogo
## 2 5 ['web', 'email', 'mobile', 'social'] 5 5 bogo
## 3 10 ['email', 'mobile', 'social'] 10 7 bogo
## 4 10 ['web', 'email', 'mobile', 'social'] 10 5 bogo
## 5 3 ['web', 'email', 'mobile', 'social'] 7 7 discount
## 6 2 ['web', 'email', 'mobile', 'social'] 10 10 discount
## id offer_alias
## 1 9b98b8c7a33c4b65b9aebfe6a799e6d9 A
## 2 f19421c1d4aa40978ebb69ca19b0e20d B
## 3 ae264e3637204a6fb9bb56bc8210ddfd C
## 4 4d5c57ea9a6940dd891ad53e9dbe8da0 D
## 5 2298d6c36e964ae4a3e7e9706d1fb8c2 E
## 6 fafdcd668e3743c1bb461111dcafc2a4 F
df_cust_offer# Extract the 'customer_id' and 'event' columns
df_cust_offer_subset <- df_cust_offer[, c("customer_id", "event","days_elapsed","hours_elapsed")]
# Split the 'value' column into 'value_key' and 'value_data'
df_cust_offer_subset$value_key <- sapply(strsplit(df_cust_offer$value, "[:,]") , "[[", 1)
df_cust_offer_subset$value_data <- sapply(strsplit(df_cust_offer$value, "[:,]") , "[[", 2)
# Remove any leading/trailing white spaces
df_cust_offer_subset$value_key <- trimws(df_cust_offer_subset$value_key)
df_cust_offer_subset$value_data <- trimws(df_cust_offer_subset$value_data)
# Remove unwanted characters, including brackets and spaces, from 'value_key' and 'value_data'
df_cust_offer_subset$value_key <- gsub("[{}',\";]", "", df_cust_offer_subset$value_key)
df_cust_offer_subset$value_data <- gsub("[{}',\";]", "", df_cust_offer_subset$value_data)
# Display the resulting data frame
head(df_cust_offer_subset)
## customer_id event days_elapsed hours_elapsed
## 1 78afa995795e4d85b5d9ceeca43f5fef offer received 0 0
## 2 a03223e636434f42ac4c3df47e8bac43 offer received 0 0
## 3 e2127556f4f64592b11af22de27a7932 offer received 0 0
## 4 8ec6ce2a7e7949b1bf142def7d0e0586 offer received 0 0
## 5 68617ca6246f4fbc85e91a2a49552598 offer received 0 0
## 6 389bc3fa690240e798340f5a15918d5c offer received 0 0
## value_key value_data
## 1 offer id 9b98b8c7a33c4b65b9aebfe6a799e6d9
## 2 offer id 0b1e1539f2cc45b7b9fa7c272da2e1d7
## 3 offer id 2906b810c7d4411798c6938adc9daaa5
## 4 offer id fafdcd668e3743c1bb461111dcafc2a4
## 5 offer id 4d5c57ea9a6940dd891ad53e9dbe8da0
## 6 offer id f19421c1d4aa40978ebb69ca19b0e20d
df_cust_offer<- df_cust_offer_subset
head(df_cust_offer)
## customer_id event days_elapsed hours_elapsed
## 1 78afa995795e4d85b5d9ceeca43f5fef offer received 0 0
## 2 a03223e636434f42ac4c3df47e8bac43 offer received 0 0
## 3 e2127556f4f64592b11af22de27a7932 offer received 0 0
## 4 8ec6ce2a7e7949b1bf142def7d0e0586 offer received 0 0
## 5 68617ca6246f4fbc85e91a2a49552598 offer received 0 0
## 6 389bc3fa690240e798340f5a15918d5c offer received 0 0
## value_key value_data
## 1 offer id 9b98b8c7a33c4b65b9aebfe6a799e6d9
## 2 offer id 0b1e1539f2cc45b7b9fa7c272da2e1d7
## 3 offer id 2906b810c7d4411798c6938adc9daaa5
## 4 offer id fafdcd668e3743c1bb461111dcafc2a4
## 5 offer id 4d5c57ea9a6940dd891ad53e9dbe8da0
## 6 offer id f19421c1d4aa40978ebb69ca19b0e20d
# Define the age bins and labels
age_bins <- c(customers$age %>% min(), 26, 36, 46, 56, 66, 76, 86, customers$age %>% max())
age_labels <- c('18-25ys', '26-35ys', '36-45ys', '46-55ys', '56-65ys', '66-75ys', '76-85ys', '> 86ys')
# Create the age_group column
customers$age_group <- cut(customers$age, breaks = age_bins, labels = age_labels, include.lowest = TRUE)
Merging the datasets based on common columns like customer_id,id and value_data
# df_offers and df_cust_offers
merged_df <- merge(df_cust_offer, customers, by.x = "customer_id", by.y = "id")
head(merged_df)
## customer_id event days_elapsed hours_elapsed
## 1 0009655768c64bdeb2e877511632db8f offer received 14.00 336
## 2 0009655768c64bdeb2e877511632db8f transaction 17.25 414
## 3 0009655768c64bdeb2e877511632db8f transaction 28.75 690
## 4 0009655768c64bdeb2e877511632db8f transaction 27.50 660
## 5 0009655768c64bdeb2e877511632db8f offer received 17.00 408
## 6 0009655768c64bdeb2e877511632db8f transaction 23.00 552
## value_key value_data gender age became_member_on income
## 1 offer id 3f207df678b143eea3cee63160fa8bed M 33 2017-04-21 72000
## 2 amount 8.57 M 33 2017-04-21 72000
## 3 amount 28.16 M 33 2017-04-21 72000
## 4 amount 12.36 M 33 2017-04-21 72000
## 5 offer id f19421c1d4aa40978ebb69ca19b0e20d M 33 2017-04-21 72000
## 6 amount 13.56 M 33 2017-04-21 72000
## age_group
## 1 26-35ys
## 2 26-35ys
## 3 26-35ys
## 4 26-35ys
## 5 26-35ys
## 6 26-35ys
#customers and merged_df
final <- merge(merged_df,df_offers , by.x = "value_data", by.y = "id")
final
## value_data customer_id
## 1 0b1e1539f2cc45b7b9fa7c272da2e1d7 9b4db663f6f74fcca53c50b9bbbdc115
## 2 0b1e1539f2cc45b7b9fa7c272da2e1d7 84a64f55640543db95c7f53a460fcb39
## 3 0b1e1539f2cc45b7b9fa7c272da2e1d7 2584539e0cdc4fb2b3e5f96a4926be39
## 4 0b1e1539f2cc45b7b9fa7c272da2e1d7 8f74115993464fdb90658daeef20a4d6
## 5 0b1e1539f2cc45b7b9fa7c272da2e1d7 48f2a019ef4940b1863ca3d5967f2944
## 6 0b1e1539f2cc45b7b9fa7c272da2e1d7 422466659dc94890a4e044633de07d39
## 7 0b1e1539f2cc45b7b9fa7c272da2e1d7 2cb4d7a40765483cb808ce28107a3775
## 8 0b1e1539f2cc45b7b9fa7c272da2e1d7 edb1301a79144e64ac659b2e7b6628c9
## 9 0b1e1539f2cc45b7b9fa7c272da2e1d7 c706c573a9114bd48e87cdae246b1afb
## 10 0b1e1539f2cc45b7b9fa7c272da2e1d7 37818e0cd6f445d09cb815cd50bc1b65
## 11 0b1e1539f2cc45b7b9fa7c272da2e1d7 f9269e4540b84e6da9ff8c351ec3d463
## 12 0b1e1539f2cc45b7b9fa7c272da2e1d7 41354aa288d14c75b25b41f5781a0a90
## 13 0b1e1539f2cc45b7b9fa7c272da2e1d7 c706c573a9114bd48e87cdae246b1afb
## 14 0b1e1539f2cc45b7b9fa7c272da2e1d7 32fbf97e89274e8a935903f2ad095e1f
## 15 0b1e1539f2cc45b7b9fa7c272da2e1d7 d77359e5490b4bb0b88e2e150e99dd87
## 16 0b1e1539f2cc45b7b9fa7c272da2e1d7 9b4db663f6f74fcca53c50b9bbbdc115
## 17 0b1e1539f2cc45b7b9fa7c272da2e1d7 2e836907db404018824dcff77519a867
## 18 0b1e1539f2cc45b7b9fa7c272da2e1d7 01162252405b4524a8fa1bf8e6d5f04b
## 19 0b1e1539f2cc45b7b9fa7c272da2e1d7 2584539e0cdc4fb2b3e5f96a4926be39
## 20 0b1e1539f2cc45b7b9fa7c272da2e1d7 8a87fda1a6644337b4394a4c3cd0946c
## 21 0b1e1539f2cc45b7b9fa7c272da2e1d7 489b497d9b0c44a3b6292525e71cec57
## 22 0b1e1539f2cc45b7b9fa7c272da2e1d7 76bd8ff0850b46c3bb5b309fb44c4b81
## 23 0b1e1539f2cc45b7b9fa7c272da2e1d7 2584539e0cdc4fb2b3e5f96a4926be39
## 24 0b1e1539f2cc45b7b9fa7c272da2e1d7 cb869ab3db924b1f9fcfffafd618f95d
## 25 0b1e1539f2cc45b7b9fa7c272da2e1d7 2db574f9885b44fbbb99396ffd60511a
## 26 0b1e1539f2cc45b7b9fa7c272da2e1d7 c7b1c663f55f405d9acb0dd1099530b0
## 27 0b1e1539f2cc45b7b9fa7c272da2e1d7 31cad73d4c524897a39722ec598aeb75
## 28 0b1e1539f2cc45b7b9fa7c272da2e1d7 4625e6efd16e4dc5948837def0090cdb
## 29 0b1e1539f2cc45b7b9fa7c272da2e1d7 65bb0e2b7efa45c8b1d80fcdf2a862aa
## 30 0b1e1539f2cc45b7b9fa7c272da2e1d7 763fa29914a941f98d8b84b539b9afef
## 31 0b1e1539f2cc45b7b9fa7c272da2e1d7 d105c60598cd410eab1e21e59c3fc613
## 32 0b1e1539f2cc45b7b9fa7c272da2e1d7 6dbfa6983e324cf08c64e52f3b790117
## 33 0b1e1539f2cc45b7b9fa7c272da2e1d7 38fb8fcee71f4a039d2ccd8e039f8e35
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## 5863 0b1e1539f2cc45b7b9fa7c272da2e1d7 05e6bcb70fe14e0da4730527ca35a4ae
## 5864 0b1e1539f2cc45b7b9fa7c272da2e1d7 2c1c0c45d25d43099388a97204878874
## 5865 0b1e1539f2cc45b7b9fa7c272da2e1d7 802b43a3d74c44c9b79e86b022f5f136
## 5866 0b1e1539f2cc45b7b9fa7c272da2e1d7 5b6c387277ba43e99c8f27dc92916cfb
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## 5873 0b1e1539f2cc45b7b9fa7c272da2e1d7 3b3f484e876f475eae9d6879cf4c15f1
## 5874 0b1e1539f2cc45b7b9fa7c272da2e1d7 a94178cd671648eeb9dc60dc8a972dff
## 5875 0b1e1539f2cc45b7b9fa7c272da2e1d7 732a4252e2e94f4f9b77e4aac5748cf9
## 5876 0b1e1539f2cc45b7b9fa7c272da2e1d7 463c1a5a56ab49249ebc2963f82e6271
## 5877 0b1e1539f2cc45b7b9fa7c272da2e1d7 35ad0c309d7743e6bb03025ee6008100
## 5878 0b1e1539f2cc45b7b9fa7c272da2e1d7 159ba13189d54daeaa55f4f8399d9779
## 5879 0b1e1539f2cc45b7b9fa7c272da2e1d7 1f5a8953d3db4e02b8e7ea4705f6aefb
## 5880 0b1e1539f2cc45b7b9fa7c272da2e1d7 336120016f7a436fae04b6859f991d38
## 5881 0b1e1539f2cc45b7b9fa7c272da2e1d7 3915674b75774fd8a5dccf50bc871d60
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## event days_elapsed hours_elapsed value_key gender age
## 1 offer received 24.00 576 offer id F 75
## 2 offer received 7.00 168 offer id F 76
## 3 offer received 17.00 408 offer id M 19
## 4 offer viewed 20.50 492 offer id F 71
## 5 offer completed 17.25 414 offer_id F 57
## 6 offer received 17.00 408 offer id M 48
## 7 offer completed 9.50 228 offer_id M 65
## 8 offer received 14.00 336 offer id F 62
## 9 offer viewed 24.50 588 offer id F 64
## 10 offer completed 25.25 606 offer_id F 67
## 11 offer received 24.00 576 offer id F 43
## 12 offer viewed 0.50 12 offer id M 45
## 13 offer completed 11.75 282 offer_id F 64
## 14 offer completed 11.25 270 offer_id M 73
## 15 offer received 17.00 408 offer id F 45
## 16 offer viewed 27.00 648 offer id F 75
## 17 offer received 21.00 504 offer id M 56
## 18 offer received 7.00 168 offer id F 68
## 19 offer received 21.00 504 offer id M 19
## 20 offer completed 14.75 354 offer_id M 29
## 21 offer received 17.00 408 offer id M 49
## 22 offer received 21.00 504 offer id F 87
## 23 offer viewed 25.25 606 offer id M 19
## 24 offer received 7.00 168 offer id M 59
## 25 offer received 0.00 0 offer id M 63
## 26 offer received 14.00 336 offer id F 45
## 27 offer received 7.00 168 offer id F 52
## 28 offer completed 24.00 576 offer_id M 51
## 29 offer received 21.00 504 offer id F 67
## 30 offer received 24.00 576 offer id F 29
## 31 offer received 17.00 408 offer id M 43
## 32 offer completed 11.25 270 offer_id F 80
## 33 offer received 0.00 0 offer id F 82
## 34 offer received 0.00 0 offer id F 61
## 35 offer received 17.00 408 offer id M 58
## 36 offer viewed 27.75 666 offer id F 66
## 37 offer received 17.00 408 offer id M 27
## 38 offer completed 26.75 642 offer_id F 55
## 39 offer completed 24.75 594 offer_id F 46
## 40 offer received 21.00 504 offer id M 58
## 41 offer received 14.00 336 offer id M 76
## 42 offer received 17.00 408 offer id M 61
## 43 offer received 7.00 168 offer id M 50
## 44 offer received 14.00 336 offer id F 63
## 45 offer completed 5.00 120 offer_id F 90
## 46 offer viewed 10.00 240 offer id M 22
## 47 offer received 0.00 0 offer id F 62
## 48 offer viewed 3.00 72 offer id F 74
## 49 offer viewed 18.25 438 offer id F 67
## 50 offer completed 23.00 552 offer_id M 51
## 51 offer received 7.00 168 offer id M 70
## 52 offer viewed 20.75 498 offer id F 46
## 53 offer received 24.00 576 offer id F 87
## 54 offer completed 9.75 234 offer_id M 59
## 55 offer completed 3.00 72 offer_id F 74
## 56 offer completed 21.25 510 offer_id F 65
## 57 offer received 0.00 0 offer id M 45
## 58 offer viewed 23.00 552 offer id F 74
## 59 offer received 17.00 408 offer id M 59
## 60 offer received 14.00 336 offer id M 22
## 61 offer received 14.00 336 offer id M 55
## 62 offer received 21.00 504 offer id F 71
## 63 offer received 17.00 408 offer id M 44
## 64 offer received 21.00 504 offer id M 66
## 65 offer completed 17.00 408 offer_id F 71
## 66 offer received 21.00 504 offer id M 54
## 67 offer completed 28.25 678 offer_id M 62
## 68 offer received 0.00 0 offer id M 38
## 69 offer completed 6.75 162 offer_id M 63
## 70 offer received 17.00 408 offer id M 50
## 71 offer received 21.00 504 offer id M 93
## 72 offer completed 23.25 558 offer_id M 73
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## 1706 offer completed 27.50 660 offer_id O 89
## 1707 offer received 0.00 0 offer id M 42
## 1708 offer received 21.00 504 offer id F 63
## 1709 offer completed 9.25 222 offer_id M 52
## 1710 offer received 14.00 336 offer id M 82
## 1711 offer received 24.00 576 offer id M 51
## 1712 offer received 14.00 336 offer id F 51
## 1713 offer received 24.00 576 offer id M 57
## 1714 offer received 24.00 576 offer id M 62
## 1715 offer received 7.00 168 offer id F 61
## 1716 offer viewed 27.00 648 offer id F 23
## 1717 offer received 21.00 504 offer id O 61
## 1718 offer received 7.00 168 offer id M 71
## 1719 offer completed 2.25 54 offer_id M 41
## 1720 offer received 24.00 576 offer id M 37
## 1721 offer received 14.00 336 offer id F 85
## 1722 offer viewed 7.25 174 offer id M 57
## 1723 offer received 17.00 408 offer id M 64
## 1724 offer received 24.00 576 offer id M 89
## 1725 offer received 7.00 168 offer id M 42
## 1726 offer received 0.00 0 offer id M 65
## 1727 offer received 17.00 408 offer id M 35
## 1728 offer received 21.00 504 offer id F 84
## 1729 offer received 24.00 576 offer id M 57
## 1730 offer completed 22.50 540 offer_id M 77
## 1731 offer received 21.00 504 offer id M 74
## 1732 offer received 0.00 0 offer id M 51
## 1733 offer received 14.00 336 offer id F 54
## 1734 offer viewed 14.00 336 offer id M 56
## 1735 offer completed 20.75 498 offer_id F 54
## 1736 offer received 17.00 408 offer id M 49
## 1737 offer received 21.00 504 offer id M 52
## 1738 offer viewed 14.50 348 offer id F 49
## 1739 offer received 24.00 576 offer id O 49
## 1740 offer received 7.00 168 offer id M 32
## 1741 offer viewed 23.00 552 offer id F 87
## 1742 offer viewed 0.00 0 offer id M 20
## 1743 offer completed 27.25 654 offer_id F 87
## 1744 offer completed 7.00 168 offer_id M 69
## 1745 offer received 21.00 504 offer id M 61
## 1746 offer viewed 15.50 372 offer id F 58
## 1747 offer viewed 24.75 594 offer id F 85
## 1748 offer completed 25.00 600 offer_id F 53
## 1749 offer received 0.00 0 offer id M 53
## 1750 offer completed 29.50 708 offer_id M 26
## 1751 offer completed 21.00 504 offer_id M 51
## 1752 offer completed 2.75 66 offer_id F 82
## 1753 offer completed 15.25 366 offer_id F 50
## 1754 offer viewed 3.50 84 offer id M 61
## 1755 offer completed 9.00 216 offer_id M 51
## 1756 offer received 14.00 336 offer id M 94
## 1757 offer completed 1.75 42 offer_id M 84
## 1758 offer received 7.00 168 offer id M 57
## 1759 offer completed 26.25 630 offer_id M 32
## 1760 offer viewed 8.50 204 offer id M 53
## 1761 offer completed 17.75 426 offer_id M 64
## 1762 offer completed 16.00 384 offer_id M 63
## 1763 offer completed 22.25 534 offer_id F 58
## 1764 offer received 17.00 408 offer id M 34
## 1765 offer received 14.00 336 offer id M 43
## 1766 offer received 0.00 0 offer id M 46
## 1767 offer completed 7.00 168 offer_id F 68
## 1768 offer received 24.00 576 offer id F 85
## 1769 offer received 7.00 168 offer id F 50
## 1770 offer received 17.00 408 offer id F 30
## 1771 offer received 0.00 0 offer id M 68
## 1772 offer received 14.00 336 offer id M 41
## 1773 offer completed 6.50 156 offer_id F 54
## 1774 offer viewed 24.75 594 offer id F 72
## 1775 offer received 17.00 408 offer id F 72
## 1776 offer received 24.00 576 offer id F 72
## 1777 offer completed 18.25 438 offer_id M 41
## 1778 offer viewed 5.50 132 offer id M 60
## 1779 offer completed 12.50 300 offer_id F 38
## 1780 offer completed 15.75 378 offer_id F 55
## 1781 offer received 7.00 168 offer id M 72
## 1782 offer completed 17.50 420 offer_id F 53
## 1783 offer received 24.00 576 offer id F 81
## 1784 offer viewed 9.25 222 offer id M 39
## 1785 offer received 0.00 0 offer id M 65
## 1786 offer viewed 25.25 606 offer id M 47
## 1787 offer received 0.00 0 offer id F 51
## 1788 offer completed 22.50 540 offer_id F 79
## 1789 offer viewed 24.25 582 offer id F 75
## 1790 offer completed 15.00 360 offer_id M 50
## 1791 offer received 21.00 504 offer id M 46
## 1792 offer received 7.00 168 offer id M 45
## 1793 offer completed 8.50 204 offer_id M 73
## 1794 offer received 17.00 408 offer id M 47
## 1795 offer completed 22.50 540 offer_id M 53
## 1796 offer viewed 21.50 516 offer id M 19
## 1797 offer received 14.00 336 offer id M 24
## 1798 offer viewed 26.50 636 offer id F 65
## 1799 offer received 21.00 504 offer id M 53
## 1800 offer received 24.00 576 offer id M 53
## 1801 offer completed 27.50 660 offer_id M 52
## 1802 offer received 21.00 504 offer id F 38
## 1803 offer completed 7.50 180 offer_id M 70
## 1804 offer received 14.00 336 offer id F 50
## 1805 offer completed 9.75 234 offer_id M 44
## 1806 offer received 17.00 408 offer id F 50
## 1807 offer completed 6.50 156 offer_id M 54
## 1808 offer completed 24.75 594 offer_id M 55
## 1809 offer received 21.00 504 offer id F 35
## 1810 offer received 17.00 408 offer id F 63
## 1811 offer viewed 14.00 336 offer id F 42
## 1812 offer completed 16.50 396 offer_id F 57
## 1813 offer received 21.00 504 offer id F 40
## 1814 offer received 24.00 576 offer id M 24
## 1815 offer received 0.00 0 offer id M 61
## 1816 offer received 17.00 408 offer id F 50
## 1817 offer viewed 13.25 318 offer id F 60
## 1818 offer completed 6.75 162 offer_id M 27
## 1819 offer completed 1.50 36 offer_id F 34
## 1820 offer viewed 24.75 594 offer id M 45
## 1821 offer received 17.00 408 offer id M 62
## 1822 offer received 17.00 408 offer id F 68
## 1823 offer received 0.00 0 offer id M 27
## 1824 offer received 14.00 336 offer id M 69
## 1825 offer completed 11.50 276 offer_id F 58
## 1826 offer viewed 22.00 528 offer id M 55
## 1827 offer received 17.00 408 offer id M 49
## 1828 offer viewed 24.50 588 offer id F 70
## 1829 offer viewed 19.00 456 offer id M 31
## 1830 offer completed 24.00 576 offer_id M 57
## 1831 offer completed 14.00 336 offer_id F 94
## 1832 offer received 0.00 0 offer id F 84
## 1833 offer completed 1.25 30 offer_id F 79
## 1834 offer received 14.00 336 offer id F 60
## 1835 offer received 0.00 0 offer id F 64
## 1836 offer received 0.00 0 offer id M 27
## 1837 offer received 0.00 0 offer id M 50
## 1838 offer completed 26.75 642 offer_id F 79
## 1839 offer received 14.00 336 offer id M 67
## 1840 offer viewed 8.00 192 offer id F 33
## 1841 offer completed 19.00 456 offer_id F 48
## 1842 offer received 14.00 336 offer id M 39
## 1843 offer received 7.00 168 offer id M 28
## 1844 offer received 24.00 576 offer id M 62
## 1845 offer received 17.00 408 offer id M 60
## 1846 offer completed 18.25 438 offer_id F 23
## 1847 offer received 24.00 576 offer id M 48
## 1848 offer received 0.00 0 offer id F 59
## 1849 offer received 7.00 168 offer id F 61
## 1850 offer received 24.00 576 offer id F 30
## 1851 offer received 14.00 336 offer id M 40
## 1852 offer viewed 10.50 252 offer id F 82
## 1853 offer viewed 14.00 336 offer id M 50
## 1854 offer completed 14.50 348 offer_id M 70
## 1855 offer viewed 20.50 492 offer id M 79
## 1856 offer received 17.00 408 offer id M 70
## 1857 offer received 0.00 0 offer id M 24
## 1858 offer completed 18.50 444 offer_id M 47
## 1859 offer received 21.00 504 offer id M 63
## 1860 offer received 7.00 168 offer id F 61
## 1861 offer completed 21.25 510 offer_id F 72
## 1862 offer viewed 18.25 438 offer id F 56
## 1863 offer completed 17.25 414 offer_id M 57
## 1864 offer received 14.00 336 offer id F 74
## 1865 offer received 17.00 408 offer id F 24
## 1866 offer received 7.00 168 offer id F 58
## 1867 offer viewed 24.00 576 offer id M 58
## 1868 offer viewed 25.50 612 offer id M 85
## 1869 offer completed 4.50 108 offer_id M 53
## 1870 offer received 17.00 408 offer id F 46
## 1871 offer completed 18.75 450 offer_id M 77
## 1872 offer received 24.00 576 offer id M 36
## 1873 offer received 21.00 504 offer id F 64
## 1874 offer received 14.00 336 offer id M 23
## 1875 offer viewed 11.50 276 offer id F 32
## 1876 offer received 24.00 576 offer id O 35
## 1877 offer received 14.00 336 offer id M 53
## 1878 offer viewed 17.50 420 offer id M 44
## 1879 offer completed 18.25 438 offer_id M 63
## 1880 offer completed 17.25 414 offer_id F 65
## 1881 offer viewed 23.75 570 offer id M 55
## 1882 offer viewed 28.50 684 offer id F 66
## 1883 offer completed 7.75 186 offer_id F 89
## 1884 offer completed 7.50 180 offer_id F 59
## 1885 offer completed 26.50 636 offer_id F 77
## 1886 offer completed 22.50 540 offer_id F 53
## 1887 offer completed 26.75 642 offer_id F 49
## 1888 offer completed 22.50 540 offer_id M 22
## 1889 offer received 17.00 408 offer id M 65
## 1890 offer received 7.00 168 offer id M 66
## 1891 offer completed 24.00 576 offer_id M 31
## 1892 offer received 21.00 504 offer id M 73
## 1893 offer completed 14.25 342 offer_id M 59
## 1894 offer completed 21.25 510 offer_id M 59
## 1895 offer received 14.00 336 offer id M 73
## 1896 offer received 21.00 504 offer id M 52
## 1897 offer viewed 21.25 510 offer id M 44
## 1898 offer received 0.00 0 offer id F 49
## 1899 offer completed 20.50 492 offer_id M 33
## 1900 offer received 14.00 336 offer id F 64
## 1901 offer received 14.00 336 offer id F 56
## 1902 offer received 7.00 168 offer id M 45
## 1903 offer received 0.00 0 offer id F 83
## 1904 offer completed 29.50 708 offer_id F 51
## 1905 offer viewed 14.00 336 offer id M 73
## 1906 offer received 21.00 504 offer id F 28
## 1907 offer received 17.00 408 offer id F 56
## 1908 offer received 24.00 576 offer id F 84
## 1909 offer received 7.00 168 offer id F 58
## 1910 offer completed 23.50 564 offer_id F 61
## 1911 offer completed 5.75 138 offer_id M 43
## 1912 offer received 0.00 0 offer id F 35
## 1913 offer received 14.00 336 offer id O 47
## 1914 offer received 21.00 504 offer id M 56
## 1915 offer received 17.00 408 offer id M 61
## 1916 offer received 0.00 0 offer id F 44
## 1917 offer received 0.00 0 offer id M 63
## 1918 offer received 21.00 504 offer id F 49
## 1919 offer received 24.00 576 offer id F 49
## 1920 offer viewed 24.25 582 offer id M 37
## 1921 offer received 14.00 336 offer id M 54
## 1922 offer completed 14.25 342 offer_id M 48
## 1923 offer viewed 1.75 42 offer id M 59
## 1924 offer viewed 2.00 48 offer id M 56
## 1925 offer received 24.00 576 offer id M 18
## 1926 offer received 21.00 504 offer id M 63
## 1927 offer completed 24.50 588 offer_id M 55
## 1928 offer completed 14.00 336 offer_id F 70
## 1929 offer received 7.00 168 offer id F 76
## 1930 offer viewed 2.00 48 offer id F 52
## 1931 offer received 21.00 504 offer id M 23
## 1932 offer received 14.00 336 offer id F 54
## 1933 offer received 7.00 168 offer id F 70
## 1934 offer viewed 21.50 516 offer id F 56
## 1935 offer viewed 25.25 606 offer id M 60
## 1936 offer completed 22.50 540 offer_id F 63
## 1937 offer viewed 12.25 294 offer id M 45
## 1938 offer completed 19.75 474 offer_id M 39
## 1939 offer received 21.00 504 offer id F 59
## 1940 offer received 21.00 504 offer id M 66
## 1941 offer completed 3.00 72 offer_id M 73
## 1942 offer received 7.00 168 offer id M 42
## 1943 offer completed 23.50 564 offer_id M 56
## 1944 offer received 14.00 336 offer id M 83
## 1945 offer received 14.00 336 offer id F 85
## 1946 offer received 24.00 576 offer id M 33
## 1947 offer received 17.00 408 offer id M 69
## 1948 offer completed 22.25 534 offer_id F 45
## 1949 offer received 24.00 576 offer id M 60
## 1950 offer received 14.00 336 offer id F 56
## 1951 offer received 21.00 504 offer id M 37
## 1952 offer viewed 3.00 72 offer id F 69
## 1953 offer received 14.00 336 offer id M 27
## 1954 offer received 24.00 576 offer id M 61
## 1955 offer completed 22.75 546 offer_id M 69
## 1956 offer viewed 8.00 192 offer id O 74
## 1957 offer completed 11.25 270 offer_id M 71
## 1958 offer received 21.00 504 offer id F 24
## 1959 offer completed 16.50 396 offer_id M 40
## 1960 offer received 14.00 336 offer id F 36
## 1961 offer completed 19.25 462 offer_id M 43
## 1962 offer viewed 26.00 624 offer id F 68
## 1963 offer received 21.00 504 offer id M 71
## 1964 offer completed 27.25 654 offer_id M 67
## 1965 offer completed 0.75 18 offer_id M 72
## 1966 offer received 21.00 504 offer id M 59
## 1967 offer completed 21.25 510 offer_id F 82
## 1968 offer received 7.00 168 offer id M 64
## 1969 offer viewed 21.50 516 offer id F 84
## 1970 offer received 7.00 168 offer id M 31
## 1971 offer received 7.00 168 offer id M 48
## 1972 offer received 14.00 336 offer id M 47
## 1973 offer received 14.00 336 offer id M 48
## 1974 offer viewed 5.50 132 offer id F 64
## 1975 offer viewed 17.00 408 offer id F 58
## 1976 offer viewed 17.00 408 offer id F 59
## 1977 offer completed 9.25 222 offer_id F 51
## 1978 offer completed 5.50 132 offer_id M 71
## 1979 offer received 0.00 0 offer id M 62
## 1980 offer received 21.00 504 offer id M 23
## 1981 offer completed 17.25 414 offer_id M 60
## 1982 offer received 14.00 336 offer id F 33
## 1983 offer received 17.00 408 offer id M 39
## 1984 offer completed 17.50 420 offer_id F 56
## 1985 offer received 7.00 168 offer id F 39
## 1986 offer received 14.00 336 offer id M 53
## 1987 offer received 24.00 576 offer id F 49
## 1988 offer received 21.00 504 offer id F 52
## 1989 offer completed 24.00 576 offer_id M 59
## 1990 offer completed 19.75 474 offer_id M 64
## 1991 offer received 0.00 0 offer id F 93
## 1992 offer viewed 22.50 540 offer id F 64
## 1993 offer received 24.00 576 offer id F 40
## 1994 offer completed 17.25 414 offer_id M 65
## 1995 offer received 14.00 336 offer id F 48
## 1996 offer received 17.00 408 offer id M 74
## 1997 offer viewed 5.75 138 offer id F 61
## 1998 offer completed 21.50 516 offer_id M 36
## 1999 offer received 14.00 336 offer id F 65
## 2000 offer completed 9.00 216 offer_id M 55
## 2001 offer completed 19.50 468 offer_id M 42
## 2002 offer received 14.00 336 offer id F 30
## 2003 offer received 14.00 336 offer id M 23
## 2004 offer received 0.00 0 offer id M 65
## 2005 offer completed 18.00 432 offer_id F 58
## 2006 offer received 7.00 168 offer id M 48
## 2007 offer viewed 23.25 558 offer id F 62
## 2008 offer received 7.00 168 offer id F 54
## 2009 offer received 7.00 168 offer id M 54
## 2010 offer viewed 9.25 222 offer id F 55
## 2011 offer received 0.00 0 offer id M 31
## 2012 offer received 24.00 576 offer id M 70
## 2013 offer received 24.00 576 offer id M 47
## 2014 offer received 21.00 504 offer id M 62
## 2015 offer viewed 12.50 300 offer id F 57
## 2016 offer completed 5.50 132 offer_id F 69
## 2017 offer completed 21.75 522 offer_id F 63
## 2018 offer received 0.00 0 offer id F 33
## 2019 offer viewed 19.00 456 offer id M 38
## 2020 offer received 24.00 576 offer id F 57
## 2021 offer received 7.00 168 offer id F 79
## 2022 offer received 24.00 576 offer id F 56
## 2023 offer received 21.00 504 offer id F 76
## 2024 offer viewed 15.00 360 offer id F 52
## 2025 offer received 21.00 504 offer id F 49
## 2026 offer completed 25.75 618 offer_id F 59
## 2027 offer received 0.00 0 offer id M 59
## 2028 offer received 17.00 408 offer id M 34
## 2029 offer completed 25.00 600 offer_id M 62
## 2030 offer received 17.00 408 offer id M 93
## 2031 offer viewed 2.00 48 offer id M 69
## 2032 offer completed 16.25 390 offer_id M 57
## 2033 offer completed 27.75 666 offer_id M 25
## 2034 offer viewed 9.50 228 offer id M 63
## 2035 offer received 14.00 336 offer id M 59
## 2036 offer received 21.00 504 offer id M 39
## 2037 offer received 24.00 576 offer id M 72
## 2038 offer received 17.00 408 offer id F 83
## 2039 offer received 0.00 0 offer id F 90
## 2040 offer received 14.00 336 offer id M 78
## 2041 offer completed 22.00 528 offer_id M 40
## 2042 offer received 14.00 336 offer id M 74
## 2043 offer received 0.00 0 offer id M 62
## 2044 offer completed 16.00 384 offer_id M 72
## 2045 offer received 7.00 168 offer id F 34
## 2046 offer received 14.00 336 offer id F 57
## 2047 offer completed 19.75 474 offer_id M 66
## 2048 offer completed 15.00 360 offer_id M 59
## 2049 offer completed 20.50 492 offer_id M 23
## 2050 offer received 7.00 168 offer id M 25
## 2051 offer completed 17.00 408 offer_id M 68
## 2052 offer received 21.00 504 offer id M 37
## 2053 offer viewed 9.75 234 offer id F 69
## 2054 offer received 14.00 336 offer id M 82
## 2055 offer completed 9.75 234 offer_id M 44
## 2056 offer viewed 27.75 666 offer id M 41
## 2057 offer received 17.00 408 offer id M 67
## 2058 offer completed 10.75 258 offer_id F 30
## 2059 offer completed 1.00 24 offer_id F 84
## 2060 offer received 24.00 576 offer id M 64
## 2061 offer viewed 9.75 234 offer id M 54
## 2062 offer received 14.00 336 offer id M 51
## 2063 offer received 0.00 0 offer id M 43
## 2064 offer viewed 27.00 648 offer id M 54
## 2065 offer completed 24.00 576 offer_id M 50
## 2066 offer received 21.00 504 offer id O 60
## 2067 offer completed 24.00 576 offer_id M 54
## 2068 offer received 7.00 168 offer id M 24
## 2069 offer completed 7.75 186 offer_id M 54
## 2070 offer received 0.00 0 offer id M 61
## 2071 offer received 24.00 576 offer id F 53
## 2072 offer completed 3.25 78 offer_id M 53
## 2073 offer received 7.00 168 offer id M 24
## 2074 offer viewed 24.50 588 offer id M 61
## 2075 offer received 17.00 408 offer id F 55
## 2076 offer received 0.00 0 offer id M 77
## 2077 offer received 21.00 504 offer id M 73
## 2078 offer received 14.00 336 offer id F 71
## 2079 offer completed 5.25 126 offer_id M 77
## 2080 offer received 14.00 336 offer id M 58
## 2081 offer received 14.00 336 offer id M 29
## 2082 offer completed 19.00 456 offer_id O 56
## 2083 offer completed 9.25 222 offer_id M 39
## 2084 offer received 14.00 336 offer id F 26
## 2085 offer completed 18.50 444 offer_id F 52
## 2086 offer received 21.00 504 offer id M 25
## 2087 offer received 17.00 408 offer id M 58
## 2088 offer viewed 23.75 570 offer id F 36
## 2089 offer received 14.00 336 offer id M 63
## 2090 offer received 24.00 576 offer id M 86
## 2091 offer completed 6.00 144 offer_id M 38
## 2092 offer completed 29.00 696 offer_id F 55
## 2093 offer received 17.00 408 offer id M 56
## 2094 offer received 24.00 576 offer id M 40
## 2095 offer received 14.00 336 offer id M 86
## 2096 offer completed 17.25 414 offer_id M 54
## 2097 offer completed 2.25 54 offer_id F 49
## 2098 offer received 17.00 408 offer id F 39
## 2099 offer completed 9.75 234 offer_id F 72
## 2100 offer received 24.00 576 offer id F 70
## 2101 offer received 14.00 336 offer id F 61
## 2102 offer completed 20.00 480 offer_id F 22
## 2103 offer received 0.00 0 offer id F 82
## 2104 offer viewed 27.75 666 offer id M 73
## 2105 offer completed 25.00 600 offer_id F 69
## 2106 offer received 14.00 336 offer id M 71
## 2107 offer received 24.00 576 offer id F 36
## 2108 offer received 24.00 576 offer id M 44
## 2109 offer received 17.00 408 offer id M 63
## 2110 offer received 21.00 504 offer id M 54
## 2111 offer received 14.00 336 offer id F 84
## 2112 offer received 24.00 576 offer id F 53
## 2113 offer viewed 24.00 576 offer id F 53
## 2114 offer received 21.00 504 offer id F 25
## 2115 offer viewed 23.00 552 offer id M 40
## 2116 offer completed 14.75 354 offer_id M 72
## 2117 offer received 17.00 408 offer id M 28
## 2118 offer completed 7.00 168 offer_id F 55
## 2119 offer viewed 7.50 180 offer id F 70
## 2120 offer received 14.00 336 offer id M 29
## 2121 offer completed 27.50 660 offer_id F 54
## 2122 offer received 17.00 408 offer id M 72
## 2123 offer viewed 8.00 192 offer id M 44
## 2124 offer received 21.00 504 offer id M 71
## 2125 offer viewed 3.75 90 offer id F 78
## 2126 offer received 21.00 504 offer id F 79
## 2127 offer viewed 14.00 336 offer id M 53
## 2128 offer received 14.00 336 offer id F 67
## 2129 offer received 0.00 0 offer id M 45
## 2130 offer received 24.00 576 offer id O 58
## 2131 offer viewed 23.25 558 offer id M 45
## 2132 offer completed 26.75 642 offer_id F 73
## 2133 offer completed 25.75 618 offer_id F 39
## 2134 offer viewed 1.00 24 offer id M 52
## 2135 offer received 0.00 0 offer id F 54
## 2136 offer completed 1.50 36 offer_id M 81
## 2137 offer completed 4.75 114 offer_id F 79
## 2138 offer received 21.00 504 offer id F 85
## 2139 offer completed 24.00 576 offer_id M 19
## 2140 offer completed 14.50 348 offer_id M 46
## 2141 offer received 7.00 168 offer id F 51
## 2142 offer received 17.00 408 offer id F 48
## 2143 offer completed 19.00 456 offer_id M 46
## 2144 offer received 17.00 408 offer id M 44
## 2145 offer received 17.00 408 offer id F 51
## 2146 offer received 7.00 168 offer id M 78
## 2147 offer completed 17.00 408 offer_id M 40
## 2148 offer completed 21.50 516 offer_id F 72
## 2149 offer received 14.00 336 offer id F 75
## 2150 offer viewed 17.25 414 offer id M 39
## 2151 offer received 14.00 336 offer id F 48
## 2152 offer received 0.00 0 offer id F 77
## 2153 offer completed 26.25 630 offer_id M 55
## 2154 offer viewed 0.50 12 offer id M 29
## 2155 offer received 17.00 408 offer id M 64
## 2156 offer completed 14.25 342 offer_id M 74
## 2157 offer received 14.00 336 offer id M 45
## 2158 offer completed 19.75 474 offer_id F 80
## 2159 offer viewed 26.00 624 offer id O 58
## 2160 offer received 14.00 336 offer id M 70
## 2161 offer received 7.00 168 offer id F 23
## 2162 offer received 17.00 408 offer id M 50
## 2163 offer received 17.00 408 offer id M 38
## 2164 offer received 17.00 408 offer id M 41
## 2165 offer completed 28.00 672 offer_id M 69
## 2166 offer viewed 18.00 432 offer id M 76
## 2167 offer viewed 7.00 168 offer id M 56
## 2168 offer received 0.00 0 offer id F 45
## 2169 offer received 0.00 0 offer id M 26
## 2170 offer received 24.00 576 offer id M 63
## 2171 offer received 17.00 408 offer id M 71
## 2172 offer received 21.00 504 offer id F 81
## 2173 offer received 21.00 504 offer id M 87
## 2174 offer received 17.00 408 offer id F 42
## 2175 offer received 7.00 168 offer id M 33
## 2176 offer received 0.00 0 offer id M 36
## 2177 offer received 0.00 0 offer id F 57
## 2178 offer received 21.00 504 offer id M 19
## 2179 offer received 14.00 336 offer id M 76
## 2180 offer received 17.00 408 offer id M 42
## 2181 offer received 0.00 0 offer id M 32
## 2182 offer completed 18.25 438 offer_id M 48
## 2183 offer received 14.00 336 offer id F 44
## 2184 offer completed 20.00 480 offer_id M 64
## 2185 offer received 21.00 504 offer id M 45
## 2186 offer viewed 7.25 174 offer id M 64
## 2187 offer received 17.00 408 offer id F 39
## 2188 offer completed 15.25 366 offer_id F 39
## 2189 offer completed 28.25 678 offer_id F 19
## 2190 offer viewed 24.50 588 offer id F 62
## 2191 offer received 17.00 408 offer id M 74
## 2192 offer viewed 7.00 168 offer id F 24
## 2193 offer received 17.00 408 offer id O 50
## 2194 offer received 24.00 576 offer id F 90
## 2195 offer received 17.00 408 offer id M 63
## 2196 offer received 17.00 408 offer id F 52
## 2197 offer received 21.00 504 offer id F 48
## 2198 offer completed 18.00 432 offer_id F 80
## 2199 offer completed 2.75 66 offer_id F 48
## 2200 offer received 17.00 408 offer id M 85
## 2201 offer completed 25.50 612 offer_id M 39
## 2202 offer viewed 23.50 564 offer id M 50
## 2203 offer received 24.00 576 offer id M 60
## 2204 offer received 17.00 408 offer id M 66
## 2205 offer received 24.00 576 offer id M 57
## 2206 offer completed 28.25 678 offer_id M 49
## 2207 offer received 17.00 408 offer id M 33
## 2208 offer viewed 17.00 408 offer id M 44
## 2209 offer received 0.00 0 offer id M 47
## 2210 offer received 0.00 0 offer id F 50
## 2211 offer completed 12.25 294 offer_id M 42
## 2212 offer received 0.00 0 offer id F 50
## 2213 offer received 17.00 408 offer id M 90
## 2214 offer received 7.00 168 offer id M 51
## 2215 offer received 0.00 0 offer id M 56
## 2216 offer received 24.00 576 offer id M 70
## 2217 offer completed 12.25 294 offer_id M 51
## 2218 offer completed 17.00 408 offer_id M 44
## 2219 offer completed 14.75 354 offer_id M 40
## 2220 offer completed 26.25 630 offer_id M 43
## 2221 offer received 21.00 504 offer id M 42
## 2222 offer completed 11.00 264 offer_id M 97
## 2223 offer received 24.00 576 offer id M 60
## 2224 offer viewed 14.25 342 offer id M 53
## 2225 offer viewed 15.00 360 offer id F 79
## 2226 offer received 17.00 408 offer id M 43
## 2227 offer received 0.00 0 offer id F 67
## 2228 offer received 7.00 168 offer id F 82
## 2229 offer received 7.00 168 offer id F 56
## 2230 offer received 14.00 336 offer id F 74
## 2231 offer viewed 14.50 348 offer id F 65
## 2232 offer received 14.00 336 offer id M 23
## 2233 offer received 24.00 576 offer id F 83
## 2234 offer received 0.00 0 offer id F 50
## 2235 offer received 14.00 336 offer id M 37
## 2236 offer completed 2.75 66 offer_id F 50
## 2237 offer received 7.00 168 offer id F 49
## 2238 offer received 14.00 336 offer id F 49
## 2239 offer viewed 13.25 318 offer id M 63
## 2240 offer received 7.00 168 offer id M 62
## 2241 offer received 14.00 336 offer id M 77
## 2242 offer received 21.00 504 offer id F 68
## 2243 offer completed 10.00 240 offer_id M 52
## 2244 offer completed 20.00 480 offer_id F 24
## 2245 offer completed 21.75 522 offer_id F 62
## 2246 offer completed 19.25 462 offer_id F 78
## 2247 offer received 21.00 504 offer id M 58
## 2248 offer received 24.00 576 offer id M 63
## 2249 offer viewed 8.00 192 offer id F 56
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## 2251 offer completed 3.00 72 offer_id M 43
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## 2253 offer received 17.00 408 offer id M 62
## 2254 offer received 21.00 504 offer id F 58
## 2255 offer viewed 17.50 420 offer id M 82
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## 2275 offer completed 4.25 102 offer_id F 49
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## 2284 offer received 21.00 504 offer id M 83
## 2285 offer viewed 25.50 612 offer id M 66
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## 2287 offer viewed 16.75 402 offer id F 74
## 2288 offer received 0.00 0 offer id F 53
## 2289 offer completed 19.50 468 offer_id M 41
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## 2293 offer received 14.00 336 offer id F 75
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## 2296 offer received 17.00 408 offer id M 50
## 2297 offer viewed 23.25 558 offer id O 34
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## 2300 offer received 17.00 408 offer id F 49
## 2301 offer received 17.00 408 offer id F 85
## 2302 offer viewed 26.00 624 offer id M 61
## 2303 offer received 0.00 0 offer id F 65
## 2304 offer received 24.00 576 offer id M 55
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## 2307 offer received 17.00 408 offer id F 70
## 2308 offer received 17.00 408 offer id F 45
## 2309 offer received 17.00 408 offer id F 25
## 2310 offer completed 19.75 474 offer_id M 82
## 2311 offer viewed 8.25 198 offer id F 54
## 2312 offer received 7.00 168 offer id F 60
## 2313 offer received 0.00 0 offer id F 53
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## 2315 offer completed 11.75 282 offer_id F 58
## 2316 offer viewed 22.25 534 offer id F 45
## 2317 offer completed 4.75 114 offer_id F 24
## 2318 offer received 7.00 168 offer id M 36
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## 2321 offer received 14.00 336 offer id F 94
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## 2329 offer completed 20.25 486 offer_id F 94
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## 2331 offer received 7.00 168 offer id F 53
## 2332 offer completed 13.25 318 offer_id M 75
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## 2335 offer received 24.00 576 offer id M 25
## 2336 offer received 24.00 576 offer id M 40
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## 2339 offer received 0.00 0 offer id F 95
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## 2342 offer viewed 19.25 462 offer id F 71
## 2343 offer received 0.00 0 offer id F 63
## 2344 offer viewed 24.25 582 offer id M 57
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## 2348 offer completed 17.75 426 offer_id F 36
## 2349 offer completed 25.00 600 offer_id F 100
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## 2355 offer completed 0.25 6 offer_id M 66
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## 2357 offer completed 10.75 258 offer_id M 49
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## 2359 offer received 14.00 336 offer id F 20
## 2360 offer completed 7.75 186 offer_id F 79
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## 2364 offer received 21.00 504 offer id M 51
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## 2367 offer received 24.00 576 offer id F 24
## 2368 offer completed 28.75 690 offer_id M 54
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## 2370 offer completed 19.25 462 offer_id M 55
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## 2372 offer received 17.00 408 offer id M 59
## 2373 offer received 24.00 576 offer id F 48
## 2374 offer viewed 28.75 690 offer id F 88
## 2375 offer received 7.00 168 offer id F 57
## 2376 offer received 17.00 408 offer id M 38
## 2377 offer viewed 26.25 630 offer id M 59
## 2378 offer completed 24.25 582 offer_id M 59
## 2379 offer received 21.00 504 offer id M 76
## 2380 offer received 21.00 504 offer id M 63
## 2381 offer completed 24.25 582 offer_id M 59
## 2382 offer received 0.00 0 offer id M 29
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## 2384 offer viewed 29.75 714 offer id F 58
## 2385 offer received 17.00 408 offer id M 68
## 2386 offer completed 26.00 624 offer_id F 59
## 2387 offer received 7.00 168 offer id F 53
## 2388 offer received 7.00 168 offer id M 83
## 2389 offer received 21.00 504 offer id M 21
## 2390 offer completed 25.25 606 offer_id F 28
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## 2392 offer received 17.00 408 offer id F 39
## 2393 offer completed 10.00 240 offer_id F 57
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## 2398 offer received 21.00 504 offer id M 51
## 2399 offer viewed 0.00 0 offer id F 47
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## 2401 offer completed 19.50 468 offer_id M 57
## 2402 offer received 17.00 408 offer id M 46
## 2403 offer viewed 0.50 12 offer id M 18
## 2404 offer completed 23.00 552 offer_id M 51
## 2405 offer received 24.00 576 offer id F 68
## 2406 offer completed 2.00 48 offer_id F 37
## 2407 offer completed 15.25 366 offer_id F 24
## 2408 offer viewed 21.00 504 offer id F 46
## 2409 offer completed 25.75 618 offer_id M 59
## 2410 offer viewed 3.50 84 offer id F 57
## 2411 offer viewed 23.50 564 offer id F 94
## 2412 offer completed 19.25 462 offer_id F 48
## 2413 offer received 24.00 576 offer id M 66
## 2414 offer received 14.00 336 offer id M 53
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## 2416 offer viewed 17.00 408 offer id M 43
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## 2418 offer viewed 15.75 378 offer id M 25
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## 2420 offer received 17.00 408 offer id M 23
## 2421 offer received 17.00 408 offer id M 65
## 2422 offer viewed 0.75 18 offer id F 55
## 2423 offer received 21.00 504 offer id M 67
## 2424 offer viewed 13.50 324 offer id F 79
## 2425 offer received 17.00 408 offer id M 58
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## 2429 offer received 14.00 336 offer id F 35
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## 2431 offer received 7.00 168 offer id F 53
## 2432 offer received 24.00 576 offer id M 45
## 2433 offer completed 15.75 378 offer_id F 59
## 2434 offer received 17.00 408 offer id F 67
## 2435 offer received 7.00 168 offer id M 53
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## 2437 offer viewed 25.25 606 offer id M 58
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## 2439 offer received 14.00 336 offer id F 56
## 2440 offer completed 8.75 210 offer_id F 53
## 2441 offer received 0.00 0 offer id F 57
## 2442 offer completed 19.25 462 offer_id M 32
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## 2444 offer received 0.00 0 offer id M 27
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## 2447 offer received 0.00 0 offer id F 57
## 2448 offer received 7.00 168 offer id F 49
## 2449 offer completed 14.50 348 offer_id M 92
## 2450 offer received 14.00 336 offer id M 57
## 2451 offer received 24.00 576 offer id F 60
## 2452 offer received 7.00 168 offer id M 52
## 2453 offer received 21.00 504 offer id F 49
## 2454 offer viewed 21.00 504 offer id M 74
## 2455 offer completed 23.75 570 offer_id M 58
## 2456 offer received 24.00 576 offer id F 62
## 2457 offer received 24.00 576 offer id M 56
## 2458 offer completed 23.00 552 offer_id F 60
## 2459 offer received 7.00 168 offer id M 43
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## 2463 offer viewed 14.50 348 offer id F 61
## 2464 offer received 17.00 408 offer id F 57
## 2465 offer completed 20.50 492 offer_id F 70
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## 2470 offer completed 8.75 210 offer_id M 56
## 2471 offer received 17.00 408 offer id M 36
## 2472 offer viewed 8.00 192 offer id M 58
## 2473 offer received 0.00 0 offer id F 35
## 2474 offer received 14.00 336 offer id M 32
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## 2476 offer viewed 23.50 564 offer id F 56
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## 2481 offer viewed 18.75 450 offer id F 70
## 2482 offer completed 25.25 606 offer_id F 60
## 2483 offer received 0.00 0 offer id M 25
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## 2496 offer received 21.00 504 offer id F 49
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## 2500 offer received 14.00 336 offer id F 65
## 2501 offer completed 24.75 594 offer_id F 64
## 2502 offer received 17.00 408 offer id M 53
## 2503 offer received 14.00 336 offer id F 49
## 2504 offer completed 29.50 708 offer_id M 38
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## 2506 offer received 21.00 504 offer id M 22
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## 2508 offer received 24.00 576 offer id M 21
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## 2510 offer received 24.00 576 offer id F 49
## 2511 offer received 24.00 576 offer id M 83
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## 2513 offer received 14.00 336 offer id M 39
## 2514 offer viewed 22.25 534 offer id F 62
## 2515 offer received 21.00 504 offer id F 39
## 2516 offer viewed 18.25 438 offer id M 26
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## 2518 offer received 21.00 504 offer id F 51
## 2519 offer completed 21.00 504 offer_id M 65
## 2520 offer received 7.00 168 offer id F 67
## 2521 offer received 7.00 168 offer id F 69
## 2522 offer received 0.00 0 offer id F 60
## 2523 offer completed 9.25 222 offer_id M 77
## 2524 offer completed 24.00 576 offer_id M 75
## 2525 offer received 7.00 168 offer id F 58
## 2526 offer completed 15.50 372 offer_id M 52
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## 2528 offer received 24.00 576 offer id M 28
## 2529 offer completed 27.50 660 offer_id M 52
## 2530 offer viewed 29.75 714 offer id M 53
## 2531 offer received 24.00 576 offer id M 24
## 2532 offer received 24.00 576 offer id F 48
## 2533 offer completed 22.00 528 offer_id F 76
## 2534 offer received 17.00 408 offer id M 55
## 2535 offer completed 21.25 510 offer_id M 25
## 2536 offer received 21.00 504 offer id F 20
## 2537 offer completed 17.75 426 offer_id M 40
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## 2540 offer received 24.00 576 offer id M 41
## 2541 offer completed 7.00 168 offer_id M 56
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## 2545 offer viewed 14.00 336 offer id F 37
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## 2547 offer received 21.00 504 offer id M 74
## 2548 offer completed 7.00 168 offer_id F 101
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## 2550 offer received 21.00 504 offer id F 73
## 2551 offer viewed 14.00 336 offer id F 72
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## 2553 offer viewed 14.75 354 offer id M 52
## 2554 offer viewed 15.25 366 offer id M 29
## 2555 offer completed 19.25 462 offer_id F 62
## 2556 offer completed 11.75 282 offer_id M 54
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## 2560 offer viewed 14.25 342 offer id M 49
## 2561 offer received 0.00 0 offer id M 55
## 2562 offer received 21.00 504 offer id M 36
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## 2564 offer received 0.00 0 offer id F 58
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## 2566 offer viewed 15.50 372 offer id F 48
## 2567 offer completed 25.50 612 offer_id F 56
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## 2569 offer received 24.00 576 offer id M 45
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## 2571 offer viewed 14.00 336 offer id M 47
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## 2573 offer received 0.00 0 offer id F 63
## 2574 offer viewed 17.75 426 offer id M 68
## 2575 offer completed 29.50 708 offer_id M 21
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## 2577 offer viewed 27.75 666 offer id M 44
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## 2579 offer received 21.00 504 offer id M 21
## 2580 offer received 21.00 504 offer id M 57
## 2581 offer completed 14.50 348 offer_id F 58
## 2582 offer completed 2.50 60 offer_id F 55
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## 2584 offer viewed 0.25 6 offer id F 77
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## 2588 offer received 14.00 336 offer id M 22
## 2589 offer received 24.00 576 offer id M 76
## 2590 offer viewed 27.25 654 offer id M 70
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## 2592 offer received 21.00 504 offer id F 65
## 2593 offer received 14.00 336 offer id F 33
## 2594 offer completed 24.25 582 offer_id F 72
## 2595 offer received 7.00 168 offer id M 45
## 2596 offer received 21.00 504 offer id F 40
## 2597 offer received 7.00 168 offer id M 77
## 2598 offer received 14.00 336 offer id M 70
## 2599 offer completed 5.75 138 offer_id M 60
## 2600 offer viewed 16.25 390 offer id F 58
## 2601 offer viewed 2.00 48 offer id M 43
## 2602 offer viewed 17.00 408 offer id M 67
## 2603 offer viewed 18.25 438 offer id M 62
## 2604 offer received 17.00 408 offer id M 52
## 2605 offer viewed 14.00 336 offer id F 52
## 2606 offer received 21.00 504 offer id M 55
## 2607 offer received 21.00 504 offer id F 56
## 2608 offer received 21.00 504 offer id F 44
## 2609 offer viewed 16.50 396 offer id M 50
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## 2611 offer viewed 14.00 336 offer id M 63
## 2612 offer received 0.00 0 offer id M 38
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## 2615 offer received 0.00 0 offer id M 55
## 2616 offer viewed 22.00 528 offer id F 97
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## 2619 offer viewed 18.50 444 offer id M 31
## 2620 offer received 14.00 336 offer id M 33
## 2621 offer viewed 25.25 606 offer id M 31
## 2622 offer completed 21.00 504 offer_id F 78
## 2623 offer received 17.00 408 offer id M 20
## 2624 offer received 24.00 576 offer id M 45
## 2625 offer viewed 21.50 516 offer id M 63
## 2626 offer received 17.00 408 offer id F 51
## 2627 offer completed 11.50 276 offer_id F 48
## 2628 offer received 24.00 576 offer id M 70
## 2629 offer received 21.00 504 offer id M 52
## 2630 offer viewed 21.50 516 offer id M 50
## 2631 offer received 17.00 408 offer id M 41
## 2632 offer completed 25.25 606 offer_id M 58
## 2633 offer received 24.00 576 offer id F 78
## 2634 offer viewed 0.50 12 offer id F 49
## 2635 offer viewed 21.50 516 offer id M 37
## 2636 offer received 0.00 0 offer id F 57
## 2637 offer received 17.00 408 offer id M 70
## 2638 offer received 21.00 504 offer id F 37
## 2639 offer received 7.00 168 offer id M 64
## 2640 offer completed 8.00 192 offer_id M 78
## 2641 offer viewed 17.00 408 offer id M 57
## 2642 offer completed 3.25 78 offer_id F 92
## 2643 offer completed 26.75 642 offer_id F 59
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## 2645 offer received 24.00 576 offer id M 87
## 2646 offer received 21.00 504 offer id M 24
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## 2648 offer received 21.00 504 offer id M 58
## 2649 offer received 17.00 408 offer id F 21
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## 2664 offer received 14.00 336 offer id M 51
## 2665 offer received 17.00 408 offer id M 26
## 2666 offer completed 22.00 528 offer_id M 21
## 2667 offer viewed 21.00 504 offer id M 73
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## 2669 offer completed 14.00 336 offer_id M 39
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## 2672 offer viewed 27.75 666 offer id F 45
## 2673 offer received 0.00 0 offer id F 60
## 2674 offer received 17.00 408 offer id M 23
## 2675 offer completed 28.00 672 offer_id F 32
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## 2679 offer received 0.00 0 offer id M 56
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## 2682 offer viewed 21.50 516 offer id M 47
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## 2687 offer received 7.00 168 offer id M 58
## 2688 offer received 0.00 0 offer id M 18
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## 2690 offer completed 9.75 234 offer_id F 62
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## 2692 offer viewed 12.00 288 offer id M 42
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## 2699 offer completed 14.25 342 offer_id F 49
## 2700 offer received 7.00 168 offer id M 25
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## 2711 offer completed 15.50 372 offer_id M 80
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## 2716 offer received 24.00 576 offer id F 57
## 2717 offer received 14.00 336 offer id F 33
## 2718 offer completed 27.25 654 offer_id M 51
## 2719 offer received 21.00 504 offer id M 58
## 2720 offer completed 21.75 522 offer_id M 49
## 2721 offer viewed 0.00 0 offer id M 66
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## 2735 offer viewed 25.50 612 offer id F 81
## 2736 offer completed 7.50 180 offer_id F 64
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## 2739 offer received 24.00 576 offer id M 69
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## 2743 offer received 7.00 168 offer id F 66
## 2744 offer completed 16.50 396 offer_id F 77
## 2745 offer viewed 21.50 516 offer id O 59
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## 2748 offer received 21.00 504 offer id F 89
## 2749 offer completed 7.75 186 offer_id F 58
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## 2753 offer completed 22.50 540 offer_id M 56
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## 2757 offer viewed 12.00 288 offer id M 67
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## 2760 offer received 0.00 0 offer id F 58
## 2761 offer received 7.00 168 offer id F 34
## 2762 offer received 14.00 336 offer id F 59
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## 2765 offer received 0.00 0 offer id M 55
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## 2767 offer viewed 15.75 378 offer id M 51
## 2768 offer received 24.00 576 offer id M 58
## 2769 offer completed 26.50 636 offer_id F 61
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## 2774 offer received 14.00 336 offer id F 83
## 2775 offer received 14.00 336 offer id F 61
## 2776 offer received 0.00 0 offer id M 83
## 2777 offer completed 26.75 642 offer_id M 60
## 2778 offer viewed 24.75 594 offer id M 59
## 2779 offer completed 26.25 630 offer_id O 38
## 2780 offer received 21.00 504 offer id M 57
## 2781 offer completed 6.00 144 offer_id M 66
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## 2822 offer viewed 8.75 210 offer id M 51
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## 2825 offer received 7.00 168 offer id M 86
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## 2828 offer viewed 14.25 342 offer id M 56
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## 2830 offer completed 23.50 564 offer_id F 81
## 2831 offer received 14.00 336 offer id M 43
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## 2833 offer received 0.00 0 offer id M 97
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## 2835 offer received 24.00 576 offer id F 76
## 2836 offer received 24.00 576 offer id F 53
## 2837 offer received 24.00 576 offer id F 59
## 2838 offer completed 22.50 540 offer_id F 54
## 2839 offer received 17.00 408 offer id M 57
## 2840 offer received 0.00 0 offer id M 71
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## 2843 offer received 14.00 336 offer id M 51
## 2844 offer received 14.00 336 offer id M 28
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## 2849 offer completed 10.00 240 offer_id O 51
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## 2868 offer received 0.00 0 offer id M 52
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## 2884 offer completed 26.25 630 offer_id M 27
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## 2887 offer viewed 28.25 678 offer id F 49
## 2888 offer completed 2.50 60 offer_id F 52
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## 2907 offer received 21.00 504 offer id M 52
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## 2910 offer received 24.00 576 offer id F 55
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## 2929 offer completed 8.75 210 offer_id F 74
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## 2981 offer completed 20.00 480 offer_id M 50
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## 3055 offer viewed 14.00 336 offer id M 40
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## 3059 offer received 0.00 0 offer id F 24
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## 3063 offer received 14.00 336 offer id F 39
## 3064 offer completed 22.50 540 offer_id M 57
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## 3072 offer viewed 7.50 180 offer id M 32
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## 3074 offer viewed 11.75 282 offer id M 46
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## 3076 offer completed 1.50 36 offer_id M 55
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## 3078 offer viewed 18.25 438 offer id M 28
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## 3100 offer completed 28.00 672 offer_id F 24
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## 3110 offer completed 27.75 666 offer_id M 47
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## 3120 offer completed 18.75 450 offer_id F 59
## 3121 offer received 21.00 504 offer id F 66
## 3122 offer completed 27.00 648 offer_id M 33
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## 3137 offer completed 6.25 150 offer_id F 55
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## 3292 offer received 0.00 0 offer id F 44
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## 3298 offer viewed 23.25 558 offer id F 75
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## 3304 offer viewed 15.25 366 offer id M 40
## 3305 offer received 14.00 336 offer id M 50
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## 3313 offer completed 14.25 342 offer_id M 39
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## 3323 offer received 21.00 504 offer id F 72
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## 3519 offer viewed 15.25 366 offer id M 54
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## 3522 offer viewed 23.25 558 offer id M 71
## 3523 offer received 0.00 0 offer id M 55
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## 3547 offer viewed 24.75 594 offer id F 59
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## 3549 offer received 14.00 336 offer id F 67
## 3550 offer received 17.00 408 offer id F 67
## 3551 offer viewed 8.00 192 offer id F 57
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## 3565 offer received 21.00 504 offer id M 51
## 3566 offer completed 24.00 576 offer_id F 56
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## 3580 offer completed 25.50 612 offer_id M 40
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## 3582 offer completed 20.00 480 offer_id F 39
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## 3622 offer viewed 14.75 354 offer id M 77
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## 3636 offer received 0.00 0 offer id M 39
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## 3638 offer completed 21.25 510 offer_id F 40
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## 3672 offer completed 24.00 576 offer_id F 65
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## 3720 offer received 21.00 504 offer id M 33
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## 3723 offer received 0.00 0 offer id M 50
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## 3843 offer received 17.00 408 offer id M 45
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## 3959 offer completed 8.75 210 offer_id F 59
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## 4377 offer received 17.00 408 offer id M 71
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## 4722 offer received 21.00 504 offer id M 19
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## 4909 offer received 24.00 576 offer id F 47
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## 4948 offer viewed 16.50 396 offer id F 38
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## 4971 offer received 21.00 504 offer id M 51
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## 4985 offer received 24.00 576 offer id M 40
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## 5020 offer completed 23.50 564 offer_id F 45
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## 5049 offer viewed 7.00 168 offer id F 68
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## 5061 offer received 0.00 0 offer id M 57
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## 5195 offer completed 28.75 690 offer_id M 62
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## 5241 offer received 7.00 168 offer id M 63
## 5242 offer received 0.00 0 offer id M 48
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## 5244 offer received 17.00 408 offer id F 59
## 5245 offer received 7.00 168 offer id M 46
## 5246 offer received 17.00 408 offer id M 84
## 5247 offer received 21.00 504 offer id F 45
## 5248 offer completed 19.00 456 offer_id F 85
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## 5250 offer received 17.00 408 offer id F 59
## 5251 offer viewed 9.75 234 offer id M 71
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## 5258 offer completed 8.25 198 offer_id F 64
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## 5417 offer received 7.00 168 offer id M 47
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## 5419 offer received 7.00 168 offer id M 55
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## 5422 offer received 17.00 408 offer id F 56
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## 5438 offer completed 17.00 408 offer_id F 49
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## 5440 offer received 24.00 576 offer id F 57
## 5441 offer received 7.00 168 offer id M 56
## 5442 offer viewed 7.00 168 offer id M 55
## 5443 offer completed 10.75 258 offer_id M 75
## 5444 offer received 17.00 408 offer id M 58
## 5445 offer received 24.00 576 offer id F 78
## 5446 offer received 14.00 336 offer id F 48
## 5447 offer viewed 13.00 312 offer id M 64
## 5448 offer completed 0.50 12 offer_id M 52
## 5449 offer completed 17.75 426 offer_id F 48
## 5450 offer received 14.00 336 offer id F 52
## 5451 offer completed 10.50 252 offer_id M 52
## 5452 offer received 14.00 336 offer id F 80
## 5453 offer completed 8.75 210 offer_id M 80
## 5454 offer received 24.00 576 offer id F 57
## 5455 offer completed 29.00 696 offer_id F 60
## 5456 offer received 0.00 0 offer id M 36
## 5457 offer received 17.00 408 offer id F 51
## 5458 offer received 7.00 168 offer id F 52
## 5459 offer received 7.00 168 offer id F 43
## 5460 offer viewed 28.75 690 offer id F 49
## 5461 offer completed 20.00 480 offer_id M 45
## 5462 offer received 21.00 504 offer id F 62
## 5463 offer completed 21.75 522 offer_id F 47
## 5464 offer received 14.00 336 offer id M 51
## 5465 offer received 24.00 576 offer id F 58
## 5466 offer received 14.00 336 offer id M 32
## 5467 offer received 14.00 336 offer id F 59
## 5468 offer completed 17.25 414 offer_id F 39
## 5469 offer viewed 24.75 594 offer id M 26
## 5470 offer received 14.00 336 offer id F 51
## 5471 offer viewed 18.75 450 offer id O 60
## 5472 offer received 0.00 0 offer id M 72
## 5473 offer completed 7.25 174 offer_id M 74
## 5474 offer viewed 12.75 306 offer id M 53
## 5475 offer received 24.00 576 offer id M 37
## 5476 offer received 24.00 576 offer id M 37
## 5477 offer received 17.00 408 offer id F 64
## 5478 offer received 21.00 504 offer id F 80
## 5479 offer received 24.00 576 offer id F 60
## 5480 offer received 24.00 576 offer id M 58
## 5481 offer received 24.00 576 offer id M 21
## 5482 offer viewed 14.25 342 offer id M 73
## 5483 offer received 21.00 504 offer id F 61
## 5484 offer received 21.00 504 offer id M 32
## 5485 offer received 24.00 576 offer id M 19
## 5486 offer completed 23.75 570 offer_id F 63
## 5487 offer viewed 27.75 666 offer id M 32
## 5488 offer received 24.00 576 offer id F 44
## 5489 offer received 17.00 408 offer id M 55
## 5490 offer completed 19.50 468 offer_id M 75
## 5491 offer received 14.00 336 offer id F 54
## 5492 offer received 7.00 168 offer id F 67
## 5493 offer completed 22.75 546 offer_id F 55
## 5494 offer viewed 18.25 438 offer id M 50
## 5495 offer received 24.00 576 offer id M 31
## 5496 offer completed 23.00 552 offer_id M 30
## 5497 offer completed 7.75 186 offer_id F 68
## 5498 offer received 24.00 576 offer id M 27
## 5499 offer completed 4.50 108 offer_id F 60
## 5500 offer viewed 7.50 180 offer id F 48
## 5501 offer completed 9.25 222 offer_id F 51
## 5502 offer received 21.00 504 offer id F 49
## 5503 offer viewed 26.00 624 offer id M 27
## 5504 offer received 7.00 168 offer id M 35
## 5505 offer received 14.00 336 offer id M 37
## 5506 offer completed 24.25 582 offer_id F 68
## 5507 offer completed 18.50 444 offer_id M 70
## 5508 offer completed 28.50 684 offer_id M 51
## 5509 offer received 24.00 576 offer id M 21
## 5510 offer received 0.00 0 offer id M 32
## 5511 offer completed 28.00 672 offer_id M 70
## 5512 offer received 24.00 576 offer id O 57
## 5513 offer received 7.00 168 offer id F 78
## 5514 offer viewed 8.00 192 offer id M 62
## 5515 offer completed 27.25 654 offer_id F 97
## 5516 offer completed 18.00 432 offer_id M 64
## 5517 offer received 14.00 336 offer id M 56
## 5518 offer viewed 1.25 30 offer id O 75
## 5519 offer viewed 21.00 504 offer id M 81
## 5520 offer viewed 0.00 0 offer id F 78
## 5521 offer viewed 24.25 582 offer id F 58
## 5522 offer viewed 21.50 516 offer id M 59
## 5523 offer completed 17.00 408 offer_id M 42
## 5524 offer completed 25.50 612 offer_id F 58
## 5525 offer completed 12.25 294 offer_id F 68
## 5526 offer viewed 25.00 600 offer id F 32
## 5527 offer received 14.00 336 offer id M 39
## 5528 offer completed 4.50 108 offer_id F 54
## 5529 offer received 21.00 504 offer id M 25
## 5530 offer received 0.00 0 offer id M 53
## 5531 offer received 0.00 0 offer id M 44
## 5532 offer received 17.00 408 offer id M 58
## 5533 offer received 24.00 576 offer id F 62
## 5534 offer completed 16.75 402 offer_id M 32
## 5535 offer completed 22.25 534 offer_id M 54
## 5536 offer completed 18.75 450 offer_id M 56
## 5537 offer viewed 24.75 594 offer id M 67
## 5538 offer received 21.00 504 offer id M 37
## 5539 offer received 24.00 576 offer id M 65
## 5540 offer completed 26.50 636 offer_id M 57
## 5541 offer received 17.00 408 offer id M 52
## 5542 offer received 24.00 576 offer id M 81
## 5543 offer received 7.00 168 offer id M 56
## 5544 offer received 0.00 0 offer id F 54
## 5545 offer received 17.00 408 offer id F 88
## 5546 offer received 17.00 408 offer id F 56
## 5547 offer viewed 22.75 546 offer id M 62
## 5548 offer received 0.00 0 offer id F 54
## 5549 offer received 14.00 336 offer id O 49
## 5550 offer received 14.00 336 offer id F 36
## 5551 offer received 21.00 504 offer id F 68
## 5552 offer received 24.00 576 offer id M 52
## 5553 offer received 7.00 168 offer id F 36
## 5554 offer received 7.00 168 offer id F 31
## 5555 offer received 24.00 576 offer id F 75
## 5556 offer received 14.00 336 offer id M 71
## 5557 offer completed 22.75 546 offer_id M 62
## 5558 offer received 7.00 168 offer id F 64
## 5559 offer received 0.00 0 offer id F 43
## 5560 offer viewed 22.00 528 offer id M 38
## 5561 offer viewed 21.50 516 offer id F 75
## 5562 offer received 7.00 168 offer id M 56
## 5563 offer received 24.00 576 offer id M 69
## 5564 offer viewed 8.00 192 offer id M 83
## 5565 offer viewed 17.00 408 offer id F 28
## 5566 offer received 24.00 576 offer id F 70
## 5567 offer completed 17.00 408 offer_id F 65
## 5568 offer completed 23.25 558 offer_id F 49
## 5569 offer viewed 14.50 348 offer id M 59
## 5570 offer viewed 0.00 0 offer id F 40
## 5571 offer viewed 20.25 486 offer id M 35
## 5572 offer received 0.00 0 offer id M 78
## 5573 offer received 14.00 336 offer id M 31
## 5574 offer viewed 1.00 24 offer id F 53
## 5575 offer received 24.00 576 offer id F 20
## 5576 offer received 7.00 168 offer id M 34
## 5577 offer viewed 9.00 216 offer id M 78
## 5578 offer completed 1.75 42 offer_id F 74
## 5579 offer received 7.00 168 offer id O 20
## 5580 offer received 24.00 576 offer id F 44
## 5581 offer received 0.00 0 offer id M 63
## 5582 offer received 0.00 0 offer id F 65
## 5583 offer received 24.00 576 offer id M 37
## 5584 offer received 17.00 408 offer id F 52
## 5585 offer received 24.00 576 offer id M 73
## 5586 offer received 24.00 576 offer id M 24
## 5587 offer received 17.00 408 offer id O 20
## 5588 offer received 21.00 504 offer id F 64
## 5589 offer completed 22.25 534 offer_id F 48
## 5590 offer completed 19.25 462 offer_id F 50
## 5591 offer received 14.00 336 offer id F 80
## 5592 offer completed 22.25 534 offer_id F 48
## 5593 offer received 7.00 168 offer id F 66
## 5594 offer viewed 15.25 366 offer id F 94
## 5595 offer completed 26.75 642 offer_id M 52
## 5596 offer completed 21.75 522 offer_id F 51
## 5597 offer received 17.00 408 offer id F 50
## 5598 offer received 24.00 576 offer id F 72
## 5599 offer completed 20.25 486 offer_id F 94
## 5600 offer viewed 21.00 504 offer id F 58
## 5601 offer completed 23.50 564 offer_id F 52
## 5602 offer received 21.00 504 offer id F 85
## 5603 offer received 0.00 0 offer id M 57
## 5604 offer viewed 28.00 672 offer id F 55
## 5605 offer received 0.00 0 offer id F 58
## 5606 offer received 0.00 0 offer id F 25
## 5607 offer received 14.00 336 offer id M 31
## 5608 offer received 21.00 504 offer id M 63
## 5609 offer received 14.00 336 offer id M 18
## 5610 offer received 17.00 408 offer id M 52
## 5611 offer viewed 17.00 408 offer id M 20
## 5612 offer received 14.00 336 offer id M 60
## 5613 offer viewed 22.25 534 offer id M 55
## 5614 offer received 17.00 408 offer id F 60
## 5615 offer received 0.00 0 offer id F 92
## 5616 offer received 7.00 168 offer id F 76
## 5617 offer received 14.00 336 offer id F 59
## 5618 offer completed 7.00 168 offer_id M 62
## 5619 offer viewed 24.25 582 offer id F 57
## 5620 offer viewed 18.25 438 offer id F 23
## 5621 offer viewed 2.75 66 offer id F 95
## 5622 offer viewed 20.00 480 offer id O 58
## 5623 offer completed 26.50 636 offer_id M 60
## 5624 offer completed 7.00 168 offer_id M 63
## 5625 offer received 14.00 336 offer id M 38
## 5626 offer received 17.00 408 offer id M 32
## 5627 offer received 17.00 408 offer id M 75
## 5628 offer completed 3.00 72 offer_id F 59
## 5629 offer viewed 24.25 582 offer id F 59
## 5630 offer received 24.00 576 offer id M 67
## 5631 offer completed 24.25 582 offer_id F 75
## 5632 offer received 21.00 504 offer id M 59
## 5633 offer completed 24.25 582 offer_id M 40
## 5634 offer completed 4.25 102 offer_id F 63
## 5635 offer received 14.00 336 offer id M 45
## 5636 offer received 21.00 504 offer id M 89
## 5637 offer received 14.00 336 offer id M 36
## 5638 offer received 14.00 336 offer id F 64
## 5639 offer received 21.00 504 offer id F 81
## 5640 offer viewed 15.25 366 offer id M 61
## 5641 offer completed 14.00 336 offer_id O 67
## 5642 offer completed 21.75 522 offer_id M 21
## 5643 offer received 24.00 576 offer id M 59
## 5644 offer received 0.00 0 offer id M 36
## 5645 offer viewed 21.50 516 offer id M 60
## 5646 offer received 21.00 504 offer id M 68
## 5647 offer viewed 15.00 360 offer id M 53
## 5648 offer received 21.00 504 offer id M 23
## 5649 offer completed 12.50 300 offer_id M 46
## 5650 offer received 0.00 0 offer id F 64
## 5651 offer received 17.00 408 offer id F 79
## 5652 offer completed 4.00 96 offer_id F 64
## 5653 offer completed 4.25 102 offer_id M 67
## 5654 offer received 24.00 576 offer id F 60
## 5655 offer viewed 15.75 378 offer id F 64
## 5656 offer received 24.00 576 offer id M 53
## 5657 offer received 0.00 0 offer id M 46
## 5658 offer received 17.00 408 offer id M 75
## 5659 offer received 21.00 504 offer id M 58
## 5660 offer viewed 18.50 444 offer id M 91
## 5661 offer received 17.00 408 offer id F 80
## 5662 offer completed 16.25 390 offer_id M 70
## 5663 offer received 21.00 504 offer id M 55
## 5664 offer received 17.00 408 offer id F 51
## 5665 offer completed 26.50 636 offer_id M 60
## 5666 offer received 14.00 336 offer id M 47
## 5667 offer viewed 25.50 612 offer id M 54
## 5668 offer received 21.00 504 offer id M 91
## 5669 offer received 7.00 168 offer id F 69
## 5670 offer received 7.00 168 offer id M 29
## 5671 offer received 21.00 504 offer id F 33
## 5672 offer received 7.00 168 offer id M 66
## 5673 offer received 21.00 504 offer id M 72
## 5674 offer viewed 8.75 210 offer id M 59
## 5675 offer received 24.00 576 offer id F 58
## 5676 offer viewed 2.00 48 offer id F 65
## 5677 offer received 0.00 0 offer id M 23
## 5678 offer completed 20.25 486 offer_id F 92
## 5679 offer received 14.00 336 offer id M 65
## 5680 offer completed 4.50 108 offer_id M 91
## 5681 offer received 17.00 408 offer id M 58
## 5682 offer received 21.00 504 offer id F 92
## 5683 offer received 17.00 408 offer id M 43
## 5684 offer received 0.00 0 offer id M 80
## 5685 offer received 24.00 576 offer id F 58
## 5686 offer received 14.00 336 offer id F 92
## 5687 offer viewed 21.50 516 offer id F 92
## 5688 offer received 14.00 336 offer id F 48
## 5689 offer received 14.00 336 offer id F 89
## 5690 offer completed 17.00 408 offer_id M 63
## 5691 offer viewed 14.00 336 offer id M 46
## 5692 offer viewed 14.75 354 offer id F 89
## 5693 offer received 24.00 576 offer id F 33
## 5694 offer received 17.00 408 offer id M 57
## 5695 offer completed 23.50 564 offer_id F 70
## 5696 offer viewed 2.50 60 offer id M 66
## 5697 offer received 17.00 408 offer id M 23
## 5698 offer received 17.00 408 offer id F 73
## 5699 offer completed 0.25 6 offer_id M 41
## 5700 offer viewed 24.00 576 offer id O 61
## 5701 offer received 0.00 0 offer id M 54
## 5702 offer completed 9.00 216 offer_id F 33
## 5703 offer received 0.00 0 offer id F 61
## 5704 offer viewed 23.00 552 offer id F 49
## 5705 offer received 17.00 408 offer id M 55
## 5706 offer received 0.00 0 offer id M 43
## 5707 offer received 0.00 0 offer id M 36
## 5708 offer completed 3.00 72 offer_id M 55
## 5709 offer completed 8.00 192 offer_id M 28
## 5710 offer completed 12.00 288 offer_id M 85
## 5711 offer received 0.00 0 offer id M 47
## 5712 offer received 7.00 168 offer id M 85
## 5713 offer completed 12.50 300 offer_id M 47
## 5714 offer viewed 3.50 84 offer id M 71
## 5715 offer received 17.00 408 offer id F 66
## 5716 offer received 24.00 576 offer id M 66
## 5717 offer received 0.00 0 offer id F 50
## 5718 offer received 17.00 408 offer id F 53
## 5719 offer received 14.00 336 offer id M 32
## 5720 offer received 0.00 0 offer id F 80
## 5721 offer received 17.00 408 offer id M 58
## 5722 offer received 17.00 408 offer id M 78
## 5723 offer completed 25.75 618 offer_id F 62
## 5724 offer received 0.00 0 offer id F 76
## 5725 offer completed 14.00 336 offer_id M 62
## 5726 offer received 17.00 408 offer id F 20
## 5727 offer received 24.00 576 offer id M 60
## 5728 offer viewed 9.25 222 offer id F 59
## 5729 offer received 21.00 504 offer id F 49
## 5730 offer viewed 21.50 516 offer id M 78
## 5731 offer received 0.00 0 offer id M 57
## 5732 offer completed 9.00 216 offer_id F 69
## 5733 offer received 21.00 504 offer id F 90
## 5734 offer completed 10.50 252 offer_id F 63
## 5735 offer completed 22.00 528 offer_id O 79
## 5736 offer completed 28.00 672 offer_id M 58
## 5737 offer received 21.00 504 offer id M 48
## 5738 offer received 21.00 504 offer id F 64
## 5739 offer viewed 24.75 594 offer id F 74
## 5740 offer received 7.00 168 offer id M 58
## 5741 offer received 24.00 576 offer id M 59
## 5742 offer received 7.00 168 offer id M 22
## 5743 offer received 7.00 168 offer id F 44
## 5744 offer received 21.00 504 offer id F 60
## 5745 offer received 24.00 576 offer id M 63
## 5746 offer completed 24.50 588 offer_id M 71
## 5747 offer received 21.00 504 offer id M 37
## 5748 offer viewed 24.25 582 offer id F 60
## 5749 offer viewed 18.00 432 offer id M 77
## 5750 offer completed 11.75 282 offer_id F 61
## 5751 offer received 0.00 0 offer id M 94
## 5752 offer viewed 14.25 342 offer id M 71
## 5753 offer completed 12.00 288 offer_id M 58
## 5754 offer received 7.00 168 offer id F 67
## 5755 offer viewed 18.50 444 offer id F 52
## 5756 offer received 24.00 576 offer id M 71
## 5757 offer completed 20.50 492 offer_id M 53
## 5758 offer completed 26.00 624 offer_id M 18
## 5759 offer completed 1.50 36 offer_id M 61
## 5760 offer viewed 14.00 336 offer id M 52
## 5761 offer received 21.00 504 offer id F 27
## 5762 offer received 0.00 0 offer id M 85
## 5763 offer received 21.00 504 offer id M 67
## 5764 offer completed 25.50 612 offer_id M 63
## 5765 offer received 21.00 504 offer id F 100
## 5766 offer received 17.00 408 offer id F 80
## 5767 offer completed 29.00 696 offer_id F 41
## 5768 offer received 21.00 504 offer id M 42
## 5769 offer received 17.00 408 offer id F 46
## 5770 offer completed 22.50 540 offer_id M 61
## 5771 offer completed 7.75 186 offer_id M 53
## 5772 offer completed 29.75 714 offer_id F 27
## 5773 offer received 7.00 168 offer id M 41
## 5774 offer viewed 17.50 420 offer id F 43
## 5775 offer received 24.00 576 offer id M 43
## 5776 offer completed 18.50 444 offer_id M 79
## 5777 offer received 17.00 408 offer id M 77
## 5778 offer viewed 27.50 660 offer id M 53
## 5779 offer received 24.00 576 offer id F 63
## 5780 offer received 0.00 0 offer id M 72
## 5781 offer viewed 9.75 234 offer id F 75
## 5782 offer received 24.00 576 offer id M 20
## 5783 offer received 17.00 408 offer id F 85
## 5784 offer completed 18.75 450 offer_id F 58
## 5785 offer viewed 25.75 618 offer id F 101
## 5786 offer completed 8.50 204 offer_id F 75
## 5787 offer completed 16.00 384 offer_id M 59
## 5788 offer received 21.00 504 offer id F 39
## 5789 offer received 21.00 504 offer id F 49
## 5790 offer completed 16.25 390 offer_id M 94
## 5791 offer completed 17.25 414 offer_id F 76
## 5792 offer completed 11.25 270 offer_id M 45
## 5793 offer completed 21.25 510 offer_id F 30
## 5794 offer received 17.00 408 offer id F 58
## 5795 offer completed 27.00 648 offer_id M 58
## 5796 offer completed 28.25 678 offer_id M 72
## 5797 offer received 7.00 168 offer id M 53
## 5798 offer completed 26.75 642 offer_id M 62
## 5799 offer completed 21.00 504 offer_id F 49
## 5800 offer received 21.00 504 offer id M 72
## 5801 offer completed 1.00 24 offer_id F 60
## 5802 offer received 21.00 504 offer id M 68
## 5803 offer received 21.00 504 offer id O 76
## 5804 offer received 0.00 0 offer id F 58
## 5805 offer received 17.00 408 offer id F 58
## 5806 offer completed 7.25 174 offer_id M 60
## 5807 offer viewed 18.00 432 offer id M 47
## 5808 offer received 21.00 504 offer id M 48
## 5809 offer viewed 17.25 414 offer id F 58
## 5810 offer received 21.00 504 offer id M 22
## 5811 offer completed 23.75 570 offer_id F 51
## 5812 offer received 21.00 504 offer id M 53
## 5813 offer completed 26.25 630 offer_id F 57
## 5814 offer received 14.00 336 offer id M 60
## 5815 offer completed 24.25 582 offer_id F 29
## 5816 offer completed 25.25 606 offer_id F 50
## 5817 offer received 17.00 408 offer id F 57
## 5818 offer completed 20.25 486 offer_id M 68
## 5819 offer received 0.00 0 offer id O 32
## 5820 offer completed 26.50 636 offer_id M 52
## 5821 offer viewed 26.75 642 offer id M 69
## 5822 offer completed 5.00 120 offer_id O 32
## 5823 offer received 21.00 504 offer id F 49
## 5824 offer received 24.00 576 offer id M 29
## 5825 offer received 14.00 336 offer id F 60
## 5826 offer received 17.00 408 offer id M 56
## 5827 offer received 14.00 336 offer id M 50
## 5828 offer completed 16.75 402 offer_id M 50
## 5829 offer completed 1.75 42 offer_id M 68
## 5830 offer viewed 0.00 0 offer id M 72
## 5831 offer received 24.00 576 offer id M 46
## 5832 offer received 7.00 168 offer id M 66
## 5833 offer viewed 24.50 588 offer id O 32
## 5834 offer received 21.00 504 offer id F 66
## 5835 offer received 24.00 576 offer id M 60
## 5836 offer received 0.00 0 offer id F 66
## 5837 offer completed 23.75 570 offer_id F 58
## 5838 offer received 14.00 336 offer id M 42
## 5839 offer received 17.00 408 offer id M 72
## 5840 offer completed 14.00 336 offer_id M 52
## 5841 offer received 7.00 168 offer id M 53
## 5842 offer received 7.00 168 offer id F 68
## 5843 offer completed 28.50 684 offer_id F 77
## 5844 offer received 24.00 576 offer id F 19
## 5845 offer completed 25.25 606 offer_id F 75
## 5846 offer completed 7.25 174 offer_id F 85
## 5847 offer completed 9.25 222 offer_id F 62
## 5848 offer received 21.00 504 offer id F 77
## 5849 offer received 17.00 408 offer id M 51
## 5850 offer received 24.00 576 offer id F 80
## 5851 offer received 14.00 336 offer id F 89
## 5852 offer received 24.00 576 offer id M 19
## 5853 offer received 7.00 168 offer id M 61
## 5854 offer received 17.00 408 offer id M 49
## 5855 offer received 0.00 0 offer id F 79
## 5856 offer received 7.00 168 offer id F 66
## 5857 offer received 24.00 576 offer id F 63
## 5858 offer received 14.00 336 offer id M 50
## 5859 offer received 17.00 408 offer id M 56
## 5860 offer received 21.00 504 offer id M 37
## 5861 offer completed 18.00 432 offer_id F 72
## 5862 offer received 17.00 408 offer id F 71
## 5863 offer viewed 18.00 432 offer id O 84
## 5864 offer completed 16.75 402 offer_id M 23
## 5865 offer completed 11.75 282 offer_id F 49
## 5866 offer completed 5.00 120 offer_id F 51
## 5867 offer viewed 22.00 528 offer id M 44
## 5868 offer received 24.00 576 offer id M 22
## 5869 offer received 14.00 336 offer id M 49
## 5870 offer received 21.00 504 offer id M 58
## 5871 offer received 7.00 168 offer id F 57
## 5872 offer received 0.00 0 offer id M 67
## 5873 offer received 14.00 336 offer id M 70
## 5874 offer received 7.00 168 offer id F 70
## 5875 offer received 24.00 576 offer id M 81
## 5876 offer completed 15.00 360 offer_id M 66
## 5877 offer completed 26.00 624 offer_id M 60
## 5878 offer completed 15.25 366 offer_id F 51
## 5879 offer viewed 10.25 246 offer id M 58
## 5880 offer received 7.00 168 offer id M 30
## 5881 offer completed 28.25 678 offer_id F 41
## 5882 offer viewed 21.75 522 offer id F 87
## became_member_on income age_group reward channels difficulty
## 1 2018-07-09 93000 66-75ys 5 ['web', 'email'] 20
## 2 2017-12-24 57000 66-75ys 5 ['web', 'email'] 20
## 3 2017-05-07 67000 18-25ys 5 ['web', 'email'] 20
## 4 2017-01-24 71000 66-75ys 5 ['web', 'email'] 20
## 5 2016-08-13 40000 56-65ys 5 ['web', 'email'] 20
## 6 2015-11-15 62000 46-55ys 5 ['web', 'email'] 20
## 7 2017-12-22 116000 56-65ys 5 ['web', 'email'] 20
## 8 2016-05-30 111000 56-65ys 5 ['web', 'email'] 20
## 9 2016-04-24 72000 56-65ys 5 ['web', 'email'] 20
## 10 2018-03-25 94000 66-75ys 5 ['web', 'email'] 20
## 11 2016-04-12 69000 36-45ys 5 ['web', 'email'] 20
## 12 2017-06-21 49000 36-45ys 5 ['web', 'email'] 20
## 13 2016-04-24 72000 56-65ys 5 ['web', 'email'] 20
## 14 2017-12-12 38000 66-75ys 5 ['web', 'email'] 20
## 15 2018-02-15 72000 36-45ys 5 ['web', 'email'] 20
## 16 2018-07-09 93000 66-75ys 5 ['web', 'email'] 20
## 17 2016-10-13 89000 46-55ys 5 ['web', 'email'] 20
## 18 2017-03-28 32000 66-75ys 5 ['web', 'email'] 20
## 19 2017-05-07 67000 18-25ys 5 ['web', 'email'] 20
## 20 2016-04-30 50000 26-35ys 5 ['web', 'email'] 20
## 21 2018-04-01 74000 46-55ys 5 ['web', 'email'] 20
## 22 2016-03-31 92000 > 86ys 5 ['web', 'email'] 20
## 23 2017-05-07 67000 18-25ys 5 ['web', 'email'] 20
## 24 2017-12-22 90000 56-65ys 5 ['web', 'email'] 20
## 25 2017-09-12 71000 56-65ys 5 ['web', 'email'] 20
## 26 2018-05-21 48000 36-45ys 5 ['web', 'email'] 20
## 27 2018-02-20 119000 46-55ys 5 ['web', 'email'] 20
## 28 2017-04-22 71000 46-55ys 5 ['web', 'email'] 20
## 29 2017-10-07 57000 66-75ys 5 ['web', 'email'] 20
## 30 2016-02-12 33000 26-35ys 5 ['web', 'email'] 20
## 31 2018-06-13 72000 36-45ys 5 ['web', 'email'] 20
## 32 2016-10-15 97000 76-85ys 5 ['web', 'email'] 20
## 33 2017-08-19 115000 76-85ys 5 ['web', 'email'] 20
## 34 2017-08-19 98000 56-65ys 5 ['web', 'email'] 20
## 35 2016-11-14 86000 56-65ys 5 ['web', 'email'] 20
## 36 2017-10-07 57000 56-65ys 5 ['web', 'email'] 20
## 37 2016-06-14 41000 26-35ys 5 ['web', 'email'] 20
## 38 2016-10-15 52000 46-55ys 5 ['web', 'email'] 20
## 39 2016-06-17 63000 36-45ys 5 ['web', 'email'] 20
## 40 2016-07-10 32000 56-65ys 5 ['web', 'email'] 20
## 41 2013-12-30 53000 66-75ys 5 ['web', 'email'] 20
## 42 2017-08-12 62000 56-65ys 5 ['web', 'email'] 20
## 43 2016-04-23 86000 46-55ys 5 ['web', 'email'] 20
## 44 2018-04-02 81000 56-65ys 5 ['web', 'email'] 20
## 45 2016-06-20 100000 > 86ys 5 ['web', 'email'] 20
## 46 2018-06-30 47000 18-25ys 5 ['web', 'email'] 20
## 47 2017-11-08 74000 56-65ys 5 ['web', 'email'] 20
## 48 2017-10-02 83000 66-75ys 5 ['web', 'email'] 20
## 49 2017-10-31 102000 66-75ys 5 ['web', 'email'] 20
## 50 2017-12-19 62000 46-55ys 5 ['web', 'email'] 20
## 51 2016-08-19 70000 66-75ys 5 ['web', 'email'] 20
## 52 2017-11-13 50000 36-45ys 5 ['web', 'email'] 20
## 53 2016-03-31 92000 > 86ys 5 ['web', 'email'] 20
## 54 2017-08-07 73000 56-65ys 5 ['web', 'email'] 20
## 55 2017-10-02 83000 66-75ys 5 ['web', 'email'] 20
## 56 2017-06-03 72000 56-65ys 5 ['web', 'email'] 20
## 57 2017-06-21 49000 36-45ys 5 ['web', 'email'] 20
## 58 2017-10-10 89000 66-75ys 5 ['web', 'email'] 20
## 59 2014-05-04 98000 56-65ys 5 ['web', 'email'] 20
## 60 2018-06-30 47000 18-25ys 5 ['web', 'email'] 20
## 61 2016-05-08 40000 46-55ys 5 ['web', 'email'] 20
## 62 2017-11-05 116000 66-75ys 5 ['web', 'email'] 20
## 63 2016-11-11 59000 36-45ys 5 ['web', 'email'] 20
## 64 2016-02-09 70000 56-65ys 5 ['web', 'email'] 20
## 65 2017-06-20 69000 66-75ys 5 ['web', 'email'] 20
## 66 2017-12-30 44000 46-55ys 5 ['web', 'email'] 20
## 67 2016-08-02 94000 56-65ys 5 ['web', 'email'] 20
## 68 2018-07-15 77000 36-45ys 5 ['web', 'email'] 20
## 69 2017-09-12 71000 56-65ys 5 ['web', 'email'] 20
## 70 2014-10-15 90000 46-55ys 5 ['web', 'email'] 20
## 71 2016-06-12 48000 > 86ys 5 ['web', 'email'] 20
## 72 2017-02-12 52000 66-75ys 5 ['web', 'email'] 20
## 73 2017-11-24 64000 56-65ys 5 ['web', 'email'] 20
## 74 2017-06-21 72000 56-65ys 5 ['web', 'email'] 20
## 75 2016-05-07 61000 66-75ys 5 ['web', 'email'] 20
## 76 2017-12-03 89000 > 86ys 5 ['web', 'email'] 20
## 77 2017-07-31 51000 56-65ys 5 ['web', 'email'] 20
## 78 2016-06-12 80000 66-75ys 5 ['web', 'email'] 20
## 79 2014-06-01 60000 76-85ys 5 ['web', 'email'] 20
## 80 2017-11-22 72000 46-55ys 5 ['web', 'email'] 20
## 81 2017-08-25 35000 56-65ys 5 ['web', 'email'] 20
## 82 2018-03-17 37000 18-25ys 5 ['web', 'email'] 20
## 83 2017-10-02 72000 46-55ys 5 ['web', 'email'] 20
## 84 2014-04-29 51000 66-75ys 5 ['web', 'email'] 20
## 85 2018-05-22 62000 46-55ys 5 ['web', 'email'] 20
## 86 2016-11-01 31000 18-25ys 5 ['web', 'email'] 20
## 87 2014-10-27 66000 36-45ys 5 ['web', 'email'] 20
## 88 2017-07-26 32000 26-35ys 5 ['web', 'email'] 20
## 89 2017-11-20 60000 36-45ys 5 ['web', 'email'] 20
## 90 2015-10-01 40000 18-25ys 5 ['web', 'email'] 20
## 91 2017-10-04 64000 26-35ys 5 ['web', 'email'] 20
## 92 2016-12-07 106000 56-65ys 5 ['web', 'email'] 20
## 93 2018-02-06 87000 56-65ys 5 ['web', 'email'] 20
## 94 2016-08-07 73000 46-55ys 5 ['web', 'email'] 20
## 95 2016-10-14 85000 36-45ys 5 ['web', 'email'] 20
## 96 2016-12-06 52000 18-25ys 5 ['web', 'email'] 20
## 97 2016-04-12 69000 36-45ys 5 ['web', 'email'] 20
## 98 2017-02-02 57000 46-55ys 5 ['web', 'email'] 20
## 99 2017-09-28 93000 46-55ys 5 ['web', 'email'] 20
## 100 2017-10-07 57000 66-75ys 5 ['web', 'email'] 20
## 101 2018-05-28 99000 66-75ys 5 ['web', 'email'] 20
## 102 2018-02-14 72000 76-85ys 5 ['web', 'email'] 20
## 103 2018-01-09 76000 56-65ys 5 ['web', 'email'] 20
## 104 2016-02-11 45000 18-25ys 5 ['web', 'email'] 20
## 105 2015-01-29 57000 36-45ys 5 ['web', 'email'] 20
## 106 2016-09-20 98000 66-75ys 5 ['web', 'email'] 20
## 107 2017-04-14 52000 46-55ys 5 ['web', 'email'] 20
## 108 2017-04-30 69000 66-75ys 5 ['web', 'email'] 20
## 109 2017-06-29 69000 56-65ys 5 ['web', 'email'] 20
## 110 2018-03-30 96000 > 86ys 5 ['web', 'email'] 20
## 111 2018-04-22 48000 26-35ys 5 ['web', 'email'] 20
## 112 2017-11-06 103000 46-55ys 5 ['web', 'email'] 20
## 113 2017-10-30 73000 46-55ys 5 ['web', 'email'] 20
## 114 2017-10-04 37000 46-55ys 5 ['web', 'email'] 20
## 115 2015-10-09 55000 66-75ys 5 ['web', 'email'] 20
## 116 2016-01-03 90000 56-65ys 5 ['web', 'email'] 20
## 117 2017-10-31 102000 66-75ys 5 ['web', 'email'] 20
## 118 2018-05-24 55000 56-65ys 5 ['web', 'email'] 20
## 119 2017-02-18 73000 56-65ys 5 ['web', 'email'] 20
## 120 2017-03-24 40000 18-25ys 5 ['web', 'email'] 20
## 121 2017-09-22 83000 36-45ys 5 ['web', 'email'] 20
## 122 2015-08-31 87000 36-45ys 5 ['web', 'email'] 20
## 123 2017-05-07 67000 18-25ys 5 ['web', 'email'] 20
## 124 2018-02-24 68000 56-65ys 5 ['web', 'email'] 20
## 125 2018-05-01 65000 26-35ys 5 ['web', 'email'] 20
## 126 2016-11-23 85000 66-75ys 5 ['web', 'email'] 20
## 127 2017-09-21 65000 36-45ys 5 ['web', 'email'] 20
## 128 2018-03-18 46000 66-75ys 5 ['web', 'email'] 20
## 129 2018-05-15 72000 56-65ys 5 ['web', 'email'] 20
## 130 2014-02-21 32000 18-25ys 5 ['web', 'email'] 20
## 131 2018-06-09 58000 > 86ys 5 ['web', 'email'] 20
## 132 2016-05-31 91000 46-55ys 5 ['web', 'email'] 20
## 133 2017-08-11 111000 46-55ys 5 ['web', 'email'] 20
## 134 2017-02-25 98000 76-85ys 5 ['web', 'email'] 20
## 135 2016-04-12 79000 56-65ys 5 ['web', 'email'] 20
## 136 2017-08-11 111000 46-55ys 5 ['web', 'email'] 20
## 137 2017-12-16 73000 36-45ys 5 ['web', 'email'] 20
## 138 2015-12-04 78000 56-65ys 5 ['web', 'email'] 20
## 139 2018-01-24 96000 56-65ys 5 ['web', 'email'] 20
## 140 2017-12-13 56000 46-55ys 5 ['web', 'email'] 20
## 141 2016-09-27 92000 76-85ys 5 ['web', 'email'] 20
## 142 2016-07-27 52000 56-65ys 5 ['web', 'email'] 20
## 143 2015-07-07 32000 56-65ys 5 ['web', 'email'] 20
## 144 2016-06-13 52000 36-45ys 5 ['web', 'email'] 20
## 145 2016-01-12 32000 46-55ys 5 ['web', 'email'] 20
## 146 2017-10-15 87000 46-55ys 5 ['web', 'email'] 20
## 147 2017-08-14 73000 36-45ys 5 ['web', 'email'] 20
## 148 2017-12-15 54000 36-45ys 5 ['web', 'email'] 20
## 149 2015-11-03 53000 18-25ys 5 ['web', 'email'] 20
## 150 2015-12-29 38000 18-25ys 5 ['web', 'email'] 20
## 151 2017-05-14 75000 46-55ys 5 ['web', 'email'] 20
## 152 2018-01-01 54000 66-75ys 5 ['web', 'email'] 20
## 153 2015-12-19 69000 56-65ys 5 ['web', 'email'] 20
## 154 2018-01-09 76000 56-65ys 5 ['web', 'email'] 20
## 155 2017-11-11 57000 36-45ys 5 ['web', 'email'] 20
## 156 2018-05-24 55000 56-65ys 5 ['web', 'email'] 20
## 157 2016-11-20 93000 46-55ys 5 ['web', 'email'] 20
## 158 2018-03-25 79000 56-65ys 5 ['web', 'email'] 20
## 159 2018-06-30 99000 46-55ys 5 ['web', 'email'] 20
## 160 2017-08-11 35000 46-55ys 5 ['web', 'email'] 20
## 161 2017-08-15 46000 56-65ys 5 ['web', 'email'] 20
## 162 2018-05-19 71000 76-85ys 5 ['web', 'email'] 20
## 163 2018-05-27 73000 46-55ys 5 ['web', 'email'] 20
## 164 2018-04-14 92000 46-55ys 5 ['web', 'email'] 20
## 165 2017-10-15 33000 18-25ys 5 ['web', 'email'] 20
## 166 2017-01-22 64000 26-35ys 5 ['web', 'email'] 20
## 167 2018-01-04 73000 66-75ys 5 ['web', 'email'] 20
## 168 2018-07-20 56000 36-45ys 5 ['web', 'email'] 20
## 169 2017-01-10 88000 56-65ys 5 ['web', 'email'] 20
## 170 2015-12-24 69000 66-75ys 5 ['web', 'email'] 20
## 171 2017-09-23 35000 26-35ys 5 ['web', 'email'] 20
## 172 2017-10-10 41000 46-55ys 5 ['web', 'email'] 20
## 173 2017-01-31 86000 36-45ys 5 ['web', 'email'] 20
## 174 2018-04-26 32000 18-25ys 5 ['web', 'email'] 20
## 175 2017-10-07 59000 46-55ys 5 ['web', 'email'] 20
## 176 2016-08-02 94000 56-65ys 5 ['web', 'email'] 20
## 177 2017-08-19 115000 76-85ys 5 ['web', 'email'] 20
## 178 2018-06-19 56000 56-65ys 5 ['web', 'email'] 20
## 179 2018-07-11 93000 36-45ys 5 ['web', 'email'] 20
## 180 2015-10-26 39000 36-45ys 5 ['web', 'email'] 20
## 181 2017-10-24 98000 46-55ys 5 ['web', 'email'] 20
## 182 2016-07-29 37000 36-45ys 5 ['web', 'email'] 20
## 183 2017-10-20 111000 46-55ys 5 ['web', 'email'] 20
## 184 2016-03-31 92000 > 86ys 5 ['web', 'email'] 20
## 185 2017-10-20 55000 > 86ys 5 ['web', 'email'] 20
## 186 2017-11-05 74000 46-55ys 5 ['web', 'email'] 20
## 187 2018-03-07 89000 56-65ys 5 ['web', 'email'] 20
## 188 2016-04-27 85000 46-55ys 5 ['web', 'email'] 20
## 189 2017-03-23 95000 76-85ys 5 ['web', 'email'] 20
## 190 2015-11-17 75000 76-85ys 5 ['web', 'email'] 20
## 191 2017-09-22 83000 36-45ys 5 ['web', 'email'] 20
## 192 2017-02-05 48000 26-35ys 5 ['web', 'email'] 20
## 193 2017-12-04 63000 46-55ys 5 ['web', 'email'] 20
## 194 2018-04-21 72000 46-55ys 5 ['web', 'email'] 20
## 195 2017-09-25 44000 76-85ys 5 ['web', 'email'] 20
## 196 2016-09-09 80000 66-75ys 5 ['web', 'email'] 20
## 197 2018-05-21 33000 56-65ys 5 ['web', 'email'] 20
## 198 2018-01-29 41000 > 86ys 5 ['web', 'email'] 20
## 199 2018-06-30 80000 46-55ys 5 ['web', 'email'] 20
## 200 2017-11-02 62000 46-55ys 5 ['web', 'email'] 20
## 201 2017-02-18 73000 56-65ys 5 ['web', 'email'] 20
## 202 2017-08-21 55000 56-65ys 5 ['web', 'email'] 20
## 203 2017-12-18 67000 56-65ys 5 ['web', 'email'] 20
## 204 2016-07-21 71000 56-65ys 5 ['web', 'email'] 20
## 205 2016-09-08 79000 76-85ys 5 ['web', 'email'] 20
## 206 2014-12-05 58000 76-85ys 5 ['web', 'email'] 20
## 207 2016-01-24 40000 76-85ys 5 ['web', 'email'] 20
## 208 2017-11-16 106000 46-55ys 5 ['web', 'email'] 20
## 209 2017-09-19 60000 76-85ys 5 ['web', 'email'] 20
## 210 2018-05-19 72000 56-65ys 5 ['web', 'email'] 20
## 211 2016-07-20 43000 66-75ys 5 ['web', 'email'] 20
## 212 2016-06-03 55000 46-55ys 5 ['web', 'email'] 20
## 213 2018-05-16 53000 76-85ys 5 ['web', 'email'] 20
## 214 2018-02-04 74000 56-65ys 5 ['web', 'email'] 20
## 215 2013-11-12 41000 66-75ys 5 ['web', 'email'] 20
## 216 2018-07-10 100000 46-55ys 5 ['web', 'email'] 20
## 217 2016-08-09 71000 46-55ys 5 ['web', 'email'] 20
## 218 2014-05-27 32000 36-45ys 5 ['web', 'email'] 20
## 219 2018-01-30 52000 56-65ys 5 ['web', 'email'] 20
## 220 2016-10-16 93000 46-55ys 5 ['web', 'email'] 20
## 221 2016-03-28 97000 46-55ys 5 ['web', 'email'] 20
## 222 2017-01-24 71000 66-75ys 5 ['web', 'email'] 20
## 223 2017-10-17 67000 18-25ys 5 ['web', 'email'] 20
## 224 2016-05-07 61000 66-75ys 5 ['web', 'email'] 20
## 225 2017-02-23 73000 66-75ys 5 ['web', 'email'] 20
## 226 2017-11-23 100000 56-65ys 5 ['web', 'email'] 20
## 227 2016-05-24 71000 36-45ys 5 ['web', 'email'] 20
## 228 2018-02-13 54000 46-55ys 5 ['web', 'email'] 20
## 229 2018-03-03 100000 46-55ys 5 ['web', 'email'] 20
## 230 2017-10-10 89000 66-75ys 5 ['web', 'email'] 20
## 231 2018-06-30 71000 18-25ys 5 ['web', 'email'] 20
## 232 2017-07-28 83000 46-55ys 5 ['web', 'email'] 20
## 233 2017-04-22 71000 46-55ys 5 ['web', 'email'] 20
## 234 2016-03-31 92000 > 86ys 5 ['web', 'email'] 20
## 235 2014-05-02 47000 66-75ys 5 ['web', 'email'] 20
## 236 2018-04-08 40000 46-55ys 5 ['web', 'email'] 20
## 237 2017-07-25 33000 18-25ys 5 ['web', 'email'] 20
## 238 2018-06-08 87000 76-85ys 5 ['web', 'email'] 20
## 239 2017-10-30 72000 66-75ys 5 ['web', 'email'] 20
## 240 2015-11-23 76000 46-55ys 5 ['web', 'email'] 20
## 241 2017-10-09 32000 36-45ys 5 ['web', 'email'] 20
## 242 2016-04-28 88000 46-55ys 5 ['web', 'email'] 20
## 243 2017-10-23 40000 56-65ys 5 ['web', 'email'] 20
## 244 2018-04-14 64000 56-65ys 5 ['web', 'email'] 20
## 245 2018-05-29 105000 46-55ys 5 ['web', 'email'] 20
## 246 2017-04-13 72000 26-35ys 5 ['web', 'email'] 20
## 247 2016-07-08 79000 56-65ys 5 ['web', 'email'] 20
## 248 2016-06-17 63000 36-45ys 5 ['web', 'email'] 20
## 249 2016-07-07 55000 46-55ys 5 ['web', 'email'] 20
## 250 2018-01-31 94000 46-55ys 5 ['web', 'email'] 20
## 251 2018-04-30 54000 76-85ys 5 ['web', 'email'] 20
## 252 2016-01-01 79000 46-55ys 5 ['web', 'email'] 20
## 253 2016-05-11 55000 46-55ys 5 ['web', 'email'] 20
## 254 2016-04-13 72000 46-55ys 5 ['web', 'email'] 20
## 255 2016-07-08 79000 56-65ys 5 ['web', 'email'] 20
## 256 2015-10-10 86000 56-65ys 5 ['web', 'email'] 20
## 257 2017-09-29 116000 46-55ys 5 ['web', 'email'] 20
## 258 2017-05-14 96000 56-65ys 5 ['web', 'email'] 20
## 259 2018-05-16 53000 76-85ys 5 ['web', 'email'] 20
## 260 2015-06-07 61000 18-25ys 5 ['web', 'email'] 20
## 261 2015-08-12 97000 66-75ys 5 ['web', 'email'] 20
## 262 2017-04-17 44000 18-25ys 5 ['web', 'email'] 20
## 263 2016-03-09 72000 46-55ys 5 ['web', 'email'] 20
## 264 2018-06-04 61000 46-55ys 5 ['web', 'email'] 20
## 265 2018-03-30 96000 > 86ys 5 ['web', 'email'] 20
## 266 2018-01-06 54000 76-85ys 5 ['web', 'email'] 20
## 267 2018-05-15 106000 76-85ys 5 ['web', 'email'] 20
## 268 2017-06-21 83000 36-45ys 5 ['web', 'email'] 20
## 269 2015-09-20 36000 46-55ys 5 ['web', 'email'] 20
## 270 2017-09-22 83000 36-45ys 5 ['web', 'email'] 20
## 271 2016-11-11 59000 36-45ys 5 ['web', 'email'] 20
## 272 2015-04-28 63000 26-35ys 5 ['web', 'email'] 20
## 273 2018-03-10 74000 46-55ys 5 ['web', 'email'] 20
## 274 2017-08-19 115000 76-85ys 5 ['web', 'email'] 20
## 275 2018-01-28 32000 56-65ys 5 ['web', 'email'] 20
## 276 2015-09-02 54000 36-45ys 5 ['web', 'email'] 20
## 277 2015-10-30 72000 56-65ys 5 ['web', 'email'] 20
## 278 2017-10-27 109000 66-75ys 5 ['web', 'email'] 20
## 279 2016-10-14 76000 56-65ys 5 ['web', 'email'] 20
## 280 2017-05-08 100000 46-55ys 5 ['web', 'email'] 20
## 281 2016-05-06 98000 56-65ys 5 ['web', 'email'] 20
## 282 2018-07-06 91000 66-75ys 5 ['web', 'email'] 20
## 283 2018-01-09 32000 46-55ys 5 ['web', 'email'] 20
## 284 2017-10-23 41000 66-75ys 5 ['web', 'email'] 20
## 285 2017-09-17 53000 56-65ys 5 ['web', 'email'] 20
## 286 2013-08-26 72000 18-25ys 5 ['web', 'email'] 20
## 287 2018-03-26 60000 26-35ys 5 ['web', 'email'] 20
## 288 2016-11-16 78000 56-65ys 5 ['web', 'email'] 20
## 289 2016-10-13 89000 46-55ys 5 ['web', 'email'] 20
## 290 2016-06-09 89000 66-75ys 5 ['web', 'email'] 20
## 291 2018-02-28 56000 26-35ys 5 ['web', 'email'] 20
## 292 2016-04-07 63000 66-75ys 5 ['web', 'email'] 20
## 293 2016-07-19 65000 26-35ys 5 ['web', 'email'] 20
## 294 2014-02-09 35000 46-55ys 5 ['web', 'email'] 20
## 295 2017-08-12 62000 56-65ys 5 ['web', 'email'] 20
## 296 2015-03-12 59000 18-25ys 5 ['web', 'email'] 20
## 297 2017-10-02 83000 66-75ys 5 ['web', 'email'] 20
## 298 2016-01-29 40000 18-25ys 5 ['web', 'email'] 20
## 299 2017-09-03 40000 76-85ys 5 ['web', 'email'] 20
## 300 2016-08-10 86000 46-55ys 5 ['web', 'email'] 20
## 301 2017-07-26 68000 66-75ys 5 ['web', 'email'] 20
## 302 2017-02-22 56000 46-55ys 5 ['web', 'email'] 20
## 303 2016-03-12 44000 66-75ys 5 ['web', 'email'] 20
## 304 2015-11-24 37000 46-55ys 5 ['web', 'email'] 20
## 305 2016-11-12 50000 46-55ys 5 ['web', 'email'] 20
## 306 2017-06-27 92000 66-75ys 5 ['web', 'email'] 20
## 307 2017-10-17 67000 18-25ys 5 ['web', 'email'] 20
## 308 2017-02-09 54000 46-55ys 5 ['web', 'email'] 20
## 309 2017-06-26 52000 46-55ys 5 ['web', 'email'] 20
## 310 2017-10-21 42000 56-65ys 5 ['web', 'email'] 20
## 311 2015-10-08 68000 56-65ys 5 ['web', 'email'] 20
## 312 2015-12-04 78000 56-65ys 5 ['web', 'email'] 20
## 313 2016-02-13 52000 56-65ys 5 ['web', 'email'] 20
## 314 2017-08-28 48000 36-45ys 5 ['web', 'email'] 20
## 315 2016-01-29 40000 18-25ys 5 ['web', 'email'] 20
## 316 2014-06-22 81000 46-55ys 5 ['web', 'email'] 20
## 317 2017-10-07 57000 56-65ys 5 ['web', 'email'] 20
## 318 2018-01-19 83000 46-55ys 5 ['web', 'email'] 20
## 319 2015-10-18 59000 66-75ys 5 ['web', 'email'] 20
## 320 2017-11-29 58000 46-55ys 5 ['web', 'email'] 20
## 321 2016-07-31 107000 46-55ys 5 ['web', 'email'] 20
## 322 2017-08-07 87000 46-55ys 5 ['web', 'email'] 20
## 323 2017-12-10 65000 66-75ys 5 ['web', 'email'] 20
## 324 2017-11-22 52000 36-45ys 5 ['web', 'email'] 20
## 325 2018-04-27 67000 56-65ys 5 ['web', 'email'] 20
## 326 2018-05-22 67000 46-55ys 5 ['web', 'email'] 20
## 327 2017-12-10 55000 46-55ys 5 ['web', 'email'] 20
## 328 2016-11-09 44000 46-55ys 5 ['web', 'email'] 20
## 329 2017-11-22 52000 36-45ys 5 ['web', 'email'] 20
## 330 2018-05-15 99000 46-55ys 5 ['web', 'email'] 20
## 331 2016-05-24 71000 36-45ys 5 ['web', 'email'] 20
## 332 2018-06-26 84000 66-75ys 5 ['web', 'email'] 20
## 333 2017-09-24 83000 46-55ys 5 ['web', 'email'] 20
## 334 2017-11-23 41000 46-55ys 5 ['web', 'email'] 20
## 335 2015-08-07 72000 46-55ys 5 ['web', 'email'] 20
## 336 2015-12-29 43000 26-35ys 5 ['web', 'email'] 20
## 337 2016-11-25 62000 36-45ys 5 ['web', 'email'] 20
## 338 2017-03-23 43000 46-55ys 5 ['web', 'email'] 20
## 339 2017-09-24 60000 26-35ys 5 ['web', 'email'] 20
## 340 2016-02-05 99000 56-65ys 5 ['web', 'email'] 20
## 341 2017-11-23 103000 76-85ys 5 ['web', 'email'] 20
## 342 2016-07-27 52000 56-65ys 5 ['web', 'email'] 20
## 343 2018-07-06 91000 66-75ys 5 ['web', 'email'] 20
## 344 2017-01-26 73000 56-65ys 5 ['web', 'email'] 20
## 345 2017-05-24 58000 46-55ys 5 ['web', 'email'] 20
## 346 2018-02-28 74000 76-85ys 5 ['web', 'email'] 20
## 347 2016-11-09 44000 46-55ys 5 ['web', 'email'] 20
## 348 2018-01-23 70000 46-55ys 5 ['web', 'email'] 20
## 349 2017-03-11 68000 66-75ys 5 ['web', 'email'] 20
## 350 2017-09-21 82000 66-75ys 5 ['web', 'email'] 20
## 351 2017-01-19 50000 46-55ys 5 ['web', 'email'] 20
## 352 2016-08-02 94000 56-65ys 5 ['web', 'email'] 20
## 353 2015-08-26 80000 46-55ys 5 ['web', 'email'] 20
## 354 2017-12-18 67000 56-65ys 5 ['web', 'email'] 20
## 355 2015-09-20 41000 66-75ys 5 ['web', 'email'] 20
## 356 2018-04-22 48000 26-35ys 5 ['web', 'email'] 20
## 357 2017-07-15 69000 56-65ys 5 ['web', 'email'] 20
## 358 2016-02-13 85000 56-65ys 5 ['web', 'email'] 20
## 359 2018-03-13 51000 18-25ys 5 ['web', 'email'] 20
## 360 2017-10-07 118000 66-75ys 5 ['web', 'email'] 20
## 361 2017-03-21 69000 46-55ys 5 ['web', 'email'] 20
## 362 2017-10-10 64000 26-35ys 5 ['web', 'email'] 20
## 363 2017-09-26 82000 56-65ys 5 ['web', 'email'] 20
## 364 2018-03-30 98000 36-45ys 5 ['web', 'email'] 20
## 365 2018-05-30 79000 36-45ys 5 ['web', 'email'] 20
## 366 2017-11-08 77000 56-65ys 5 ['web', 'email'] 20
## 367 2018-04-25 66000 46-55ys 5 ['web', 'email'] 20
## 368 2015-06-07 61000 18-25ys 5 ['web', 'email'] 20
## 369 2017-01-23 80000 46-55ys 5 ['web', 'email'] 20
## 370 2017-10-18 68000 56-65ys 5 ['web', 'email'] 20
## 371 2014-05-22 42000 46-55ys 5 ['web', 'email'] 20
## 372 2016-09-29 81000 56-65ys 5 ['web', 'email'] 20
## 373 2017-10-25 89000 36-45ys 5 ['web', 'email'] 20
## 374 2016-02-20 91000 46-55ys 5 ['web', 'email'] 20
## 375 2014-10-27 51000 56-65ys 5 ['web', 'email'] 20
## 376 2017-06-22 79000 76-85ys 5 ['web', 'email'] 20
## 377 2018-05-02 50000 76-85ys 5 ['web', 'email'] 20
## 378 2017-08-29 87000 46-55ys 5 ['web', 'email'] 20
## 379 2016-10-15 46000 26-35ys 5 ['web', 'email'] 20
## 380 2017-08-19 55000 46-55ys 5 ['web', 'email'] 20
## 381 2017-10-17 116000 66-75ys 5 ['web', 'email'] 20
## 382 2017-03-18 95000 36-45ys 5 ['web', 'email'] 20
## 383 2015-06-30 68000 46-55ys 5 ['web', 'email'] 20
## 384 2017-04-01 31000 26-35ys 5 ['web', 'email'] 20
## 385 2015-01-26 47000 56-65ys 5 ['web', 'email'] 20
## 386 2018-01-05 99000 76-85ys 5 ['web', 'email'] 20
## 387 2017-12-03 89000 > 86ys 5 ['web', 'email'] 20
## 388 2018-03-13 73000 46-55ys 5 ['web', 'email'] 20
## 389 2015-09-07 84000 66-75ys 5 ['web', 'email'] 20
## 390 2018-01-23 57000 46-55ys 5 ['web', 'email'] 20
## 391 2018-05-26 73000 36-45ys 5 ['web', 'email'] 20
## 392 2018-05-26 64000 36-45ys 5 ['web', 'email'] 20
## 393 2015-08-05 41000 26-35ys 5 ['web', 'email'] 20
## 394 2016-08-06 58000 46-55ys 5 ['web', 'email'] 20
## 395 2016-06-18 88000 66-75ys 5 ['web', 'email'] 20
## 396 2017-10-06 63000 36-45ys 5 ['web', 'email'] 20
## 397 2018-02-06 87000 56-65ys 5 ['web', 'email'] 20
## 398 2017-02-24 74000 46-55ys 5 ['web', 'email'] 20
## 399 2017-03-29 87000 46-55ys 5 ['web', 'email'] 20
## 400 2016-08-28 66000 46-55ys 5 ['web', 'email'] 20
## 401 2017-03-16 84000 > 86ys 5 ['web', 'email'] 20
## 402 2015-11-10 50000 26-35ys 5 ['web', 'email'] 20
## 403 2018-03-19 69000 56-65ys 5 ['web', 'email'] 20
## 404 2018-01-24 97000 56-65ys 5 ['web', 'email'] 20
## 405 2017-08-23 73000 26-35ys 5 ['web', 'email'] 20
## 406 2016-04-19 60000 46-55ys 5 ['web', 'email'] 20
## 407 2017-07-26 32000 26-35ys 5 ['web', 'email'] 20
## 408 2018-01-04 35000 36-45ys 5 ['web', 'email'] 20
## 409 2015-09-27 53000 46-55ys 5 ['web', 'email'] 20
## 410 2017-02-12 57000 46-55ys 5 ['web', 'email'] 20
## 411 2017-06-28 60000 18-25ys 5 ['web', 'email'] 20
## 412 2017-02-18 73000 56-65ys 5 ['web', 'email'] 20
## 413 2016-07-03 62000 56-65ys 5 ['web', 'email'] 20
## 414 2014-01-07 30000 66-75ys 5 ['web', 'email'] 20
## 415 2013-09-09 82000 36-45ys 5 ['web', 'email'] 20
## 416 2018-04-12 109000 76-85ys 5 ['web', 'email'] 20
## 417 2017-03-07 53000 76-85ys 5 ['web', 'email'] 20
## 418 2018-07-07 72000 26-35ys 5 ['web', 'email'] 20
## 419 2017-12-28 32000 18-25ys 5 ['web', 'email'] 20
## 420 2016-06-03 55000 46-55ys 5 ['web', 'email'] 20
## 421 2016-03-10 39000 66-75ys 5 ['web', 'email'] 20
## 422 2017-06-03 87000 36-45ys 5 ['web', 'email'] 20
## 423 2015-07-06 79000 76-85ys 5 ['web', 'email'] 20
## 424 2018-04-22 71000 66-75ys 5 ['web', 'email'] 20
## 425 2016-10-08 82000 46-55ys 5 ['web', 'email'] 20
## 426 2017-02-18 73000 56-65ys 5 ['web', 'email'] 20
## 427 2015-05-29 31000 56-65ys 5 ['web', 'email'] 20
## 428 2016-11-06 52000 36-45ys 5 ['web', 'email'] 20
## 429 2017-11-12 60000 36-45ys 5 ['web', 'email'] 20
## 430 2018-01-23 97000 56-65ys 5 ['web', 'email'] 20
## 431 2015-12-10 82000 56-65ys 5 ['web', 'email'] 20
## 432 2017-12-19 85000 56-65ys 5 ['web', 'email'] 20
## 433 2017-06-21 49000 36-45ys 5 ['web', 'email'] 20
## 434 2017-12-21 44000 56-65ys 5 ['web', 'email'] 20
## 435 2016-11-11 56000 36-45ys 5 ['web', 'email'] 20
## 436 2018-02-13 84000 46-55ys 5 ['web', 'email'] 20
## 437 2015-12-13 60000 56-65ys 5 ['web', 'email'] 20
## 438 2017-10-10 70000 56-65ys 5 ['web', 'email'] 20
## 439 2017-11-20 60000 36-45ys 5 ['web', 'email'] 20
## 440 2017-09-23 35000 56-65ys 5 ['web', 'email'] 20
## 441 2017-12-09 100000 56-65ys 5 ['web', 'email'] 20
## 442 2017-09-27 54000 18-25ys 5 ['web', 'email'] 20
## 443 2018-03-21 73000 46-55ys 5 ['web', 'email'] 20
## 444 2017-12-17 52000 36-45ys 5 ['web', 'email'] 20
## 445 2018-04-30 87000 56-65ys 5 ['web', 'email'] 20
## 446 2016-08-04 103000 46-55ys 5 ['web', 'email'] 20
## 447 2017-12-10 65000 66-75ys 5 ['web', 'email'] 20
## 448 2016-04-10 66000 56-65ys 5 ['web', 'email'] 20
## 449 2017-01-01 55000 36-45ys 5 ['web', 'email'] 20
## 450 2017-11-23 41000 46-55ys 5 ['web', 'email'] 20
## 451 2017-02-28 50000 26-35ys 5 ['web', 'email'] 20
## 452 2016-03-21 83000 46-55ys 5 ['web', 'email'] 20
## 453 2017-11-08 51000 66-75ys 5 ['web', 'email'] 20
## 454 2014-11-02 62000 66-75ys 5 ['web', 'email'] 20
## 455 2014-09-10 54000 66-75ys 5 ['web', 'email'] 20
## 456 2015-01-17 95000 36-45ys 5 ['web', 'email'] 20
## 457 2014-08-29 35000 46-55ys 5 ['web', 'email'] 20
## 458 2017-01-02 84000 66-75ys 5 ['web', 'email'] 20
## 459 2017-02-05 87000 36-45ys 5 ['web', 'email'] 20
## 460 2017-11-14 39000 36-45ys 5 ['web', 'email'] 20
## 461 2017-10-13 48000 18-25ys 5 ['web', 'email'] 20
## 462 2018-02-02 63000 18-25ys 5 ['web', 'email'] 20
## 463 2018-07-26 74000 36-45ys 5 ['web', 'email'] 20
## 464 2015-08-03 55000 36-45ys 5 ['web', 'email'] 20
## 465 2017-07-30 45000 36-45ys 5 ['web', 'email'] 20
## 466 2017-12-29 53000 36-45ys 5 ['web', 'email'] 20
## 467 2016-03-05 44000 56-65ys 5 ['web', 'email'] 20
## 468 2017-12-09 80000 46-55ys 5 ['web', 'email'] 20
## 469 2017-11-24 65000 36-45ys 5 ['web', 'email'] 20
## 470 2016-05-16 66000 26-35ys 5 ['web', 'email'] 20
## 471 2017-09-18 108000 66-75ys 5 ['web', 'email'] 20
## 472 2018-03-01 32000 46-55ys 5 ['web', 'email'] 20
## 473 2013-10-14 57000 76-85ys 5 ['web', 'email'] 20
## 474 2017-01-21 117000 46-55ys 5 ['web', 'email'] 20
## 475 2016-04-07 35000 > 86ys 5 ['web', 'email'] 20
## 476 2017-08-17 52000 56-65ys 5 ['web', 'email'] 20
## 477 2017-12-08 42000 18-25ys 5 ['web', 'email'] 20
## 478 2017-06-03 87000 36-45ys 5 ['web', 'email'] 20
## 479 2015-12-31 84000 66-75ys 5 ['web', 'email'] 20
## 480 2016-05-14 112000 56-65ys 5 ['web', 'email'] 20
## 481 2018-06-04 52000 56-65ys 5 ['web', 'email'] 20
## 482 2017-01-03 89000 46-55ys 5 ['web', 'email'] 20
## 483 2015-06-23 98000 46-55ys 5 ['web', 'email'] 20
## 484 2017-05-17 74000 36-45ys 5 ['web', 'email'] 20
## 485 2016-08-29 60000 36-45ys 5 ['web', 'email'] 20
## 486 2018-06-05 40000 18-25ys 5 ['web', 'email'] 20
## 487 2018-05-20 32000 26-35ys 5 ['web', 'email'] 20
## 488 2018-06-30 47000 18-25ys 5 ['web', 'email'] 20
## 489 2018-03-26 79000 46-55ys 5 ['web', 'email'] 20
## 490 2016-10-06 67000 46-55ys 5 ['web', 'email'] 20
## 491 2016-06-12 48000 > 86ys 5 ['web', 'email'] 20
## 492 2018-01-05 99000 76-85ys 5 ['web', 'email'] 20
## 493 2016-04-14 100000 36-45ys 5 ['web', 'email'] 20
## 494 2018-05-14 89000 76-85ys 5 ['web', 'email'] 20
## 495 2018-02-25 47000 66-75ys 5 ['web', 'email'] 20
## 496 2017-10-29 40000 18-25ys 5 ['web', 'email'] 20
## 497 2016-11-18 72000 18-25ys 5 ['web', 'email'] 20
## 498 2014-01-26 33000 26-35ys 5 ['web', 'email'] 20
## 499 2016-02-28 118000 46-55ys 5 ['web', 'email'] 20
## 500 2014-06-03 73000 36-45ys 5 ['web', 'email'] 20
## 501 2016-06-09 88000 76-85ys 5 ['web', 'email'] 20
## 502 2016-03-05 44000 56-65ys 5 ['web', 'email'] 20
## 503 2013-12-19 45000 56-65ys 5 ['web', 'email'] 20
## 504 2017-10-30 93000 56-65ys 5 ['web', 'email'] 20
## 505 2016-05-31 75000 36-45ys 5 ['web', 'email'] 20
## 506 2017-08-12 78000 56-65ys 5 ['web', 'email'] 20
## 507 2018-03-01 32000 46-55ys 5 ['web', 'email'] 20
## 508 2015-12-12 85000 66-75ys 5 ['web', 'email'] 20
## 509 2017-01-08 86000 66-75ys 5 ['web', 'email'] 20
## 510 2017-12-30 58000 36-45ys 5 ['web', 'email'] 20
## 511 2015-09-04 74000 66-75ys 5 ['web', 'email'] 20
## 512 2015-08-24 74000 56-65ys 5 ['web', 'email'] 20
## 513 2017-08-05 81000 76-85ys 5 ['web', 'email'] 20
## 514 2016-07-22 38000 66-75ys 5 ['web', 'email'] 20
## 515 2017-12-03 62000 66-75ys 5 ['web', 'email'] 20
## 516 2017-03-12 81000 56-65ys 5 ['web', 'email'] 20
## 517 2017-03-31 37000 26-35ys 5 ['web', 'email'] 20
## 518 2017-09-02 92000 56-65ys 5 ['web', 'email'] 20
## 519 2016-11-14 74000 18-25ys 5 ['web', 'email'] 20
## 520 2013-10-14 57000 76-85ys 5 ['web', 'email'] 20
## 521 2016-02-28 87000 46-55ys 5 ['web', 'email'] 20
## 522 2016-10-07 59000 36-45ys 5 ['web', 'email'] 20
## 523 2016-09-07 52000 56-65ys 5 ['web', 'email'] 20
## 524 2018-05-25 35000 56-65ys 5 ['web', 'email'] 20
## 525 2018-03-21 69000 36-45ys 5 ['web', 'email'] 20
## 526 2016-06-18 77000 56-65ys 5 ['web', 'email'] 20
## 527 2018-03-29 98000 56-65ys 5 ['web', 'email'] 20
## 528 2015-04-07 70000 36-45ys 5 ['web', 'email'] 20
## 529 2015-11-14 78000 46-55ys 5 ['web', 'email'] 20
## 530 2015-09-17 52000 56-65ys 5 ['web', 'email'] 20
## 531 2016-09-25 93000 66-75ys 5 ['web', 'email'] 20
## 532 2016-05-13 86000 56-65ys 5 ['web', 'email'] 20
## 533 2017-07-26 32000 26-35ys 5 ['web', 'email'] 20
## 534 2018-03-25 79000 56-65ys 5 ['web', 'email'] 20
## 535 2015-06-30 68000 46-55ys 5 ['web', 'email'] 20
## 536 2016-06-13 106000 76-85ys 5 ['web', 'email'] 20
## 537 2015-11-14 78000 46-55ys 5 ['web', 'email'] 20
## 538 2018-07-15 113000 66-75ys 5 ['web', 'email'] 20
## 539 2018-03-21 56000 66-75ys 5 ['web', 'email'] 20
## 540 2018-02-10 65000 36-45ys 5 ['web', 'email'] 20
## 541 2016-10-30 41000 > 86ys 5 ['web', 'email'] 20
## 542 2015-11-21 81000 46-55ys 5 ['web', 'email'] 20
## 543 2018-01-21 63000 36-45ys 5 ['web', 'email'] 20
## 544 2017-03-09 80000 66-75ys 5 ['web', 'email'] 20
## 545 2018-02-13 54000 46-55ys 5 ['web', 'email'] 20
## 546 2017-06-26 52000 46-55ys 5 ['web', 'email'] 20
## 547 2018-04-29 115000 56-65ys 5 ['web', 'email'] 20
## 548 2018-06-28 67000 18-25ys 5 ['web', 'email'] 20
## 549 2017-04-13 52000 76-85ys 5 ['web', 'email'] 20
## 550 2015-08-02 85000 56-65ys 5 ['web', 'email'] 20
## 551 2017-12-20 44000 18-25ys 5 ['web', 'email'] 20
## 552 2016-01-02 43000 18-25ys 5 ['web', 'email'] 20
## 553 2014-11-30 77000 > 86ys 5 ['web', 'email'] 20
## 554 2018-06-30 99000 46-55ys 5 ['web', 'email'] 20
## 555 2018-03-18 55000 56-65ys 5 ['web', 'email'] 20
## 556 2016-04-23 68000 46-55ys 5 ['web', 'email'] 20
## 557 2017-12-13 71000 56-65ys 5 ['web', 'email'] 20
## 558 2018-06-30 47000 18-25ys 5 ['web', 'email'] 20
## 559 2014-04-15 92000 46-55ys 5 ['web', 'email'] 20
## 560 2017-04-12 49000 36-45ys 5 ['web', 'email'] 20
## 561 2017-02-01 91000 66-75ys 5 ['web', 'email'] 20
## 562 2017-08-12 36000 36-45ys 5 ['web', 'email'] 20
## 563 2017-04-30 84000 66-75ys 5 ['web', 'email'] 20
## 564 2017-04-01 97000 46-55ys 5 ['web', 'email'] 20
## 565 2016-07-02 81000 66-75ys 5 ['web', 'email'] 20
## 566 2016-04-22 68000 36-45ys 5 ['web', 'email'] 20
## 567 2016-10-19 54000 26-35ys 5 ['web', 'email'] 20
## 568 2015-08-23 88000 56-65ys 5 ['web', 'email'] 20
## 569 2016-05-11 107000 76-85ys 5 ['web', 'email'] 20
## 570 2017-07-03 35000 26-35ys 5 ['web', 'email'] 20
## 571 2018-07-05 48000 26-35ys 5 ['web', 'email'] 20
## 572 2016-04-07 51000 76-85ys 5 ['web', 'email'] 20
## 573 2015-09-02 54000 36-45ys 5 ['web', 'email'] 20
## 574 2015-08-15 41000 46-55ys 5 ['web', 'email'] 20
## 575 2015-01-17 95000 36-45ys 5 ['web', 'email'] 20
## 576 2017-08-06 76000 36-45ys 5 ['web', 'email'] 20
## 577 2018-03-29 79000 46-55ys 5 ['web', 'email'] 20
## 578 2015-08-14 64000 46-55ys 5 ['web', 'email'] 20
## 579 2017-09-15 69000 18-25ys 5 ['web', 'email'] 20
## 580 2016-02-17 56000 56-65ys 5 ['web', 'email'] 20
## 581 2015-07-21 70000 26-35ys 5 ['web', 'email'] 20
## 582 2017-10-12 37000 36-45ys 5 ['web', 'email'] 20
## 583 2017-12-21 54000 56-65ys 5 ['web', 'email'] 20
## 584 2018-01-09 76000 56-65ys 5 ['web', 'email'] 20
## 585 2018-04-25 105000 56-65ys 5 ['web', 'email'] 20
## 586 2017-02-23 103000 66-75ys 5 ['web', 'email'] 20
## 587 2016-03-05 89000 36-45ys 5 ['web', 'email'] 20
## 588 2018-06-04 43000 36-45ys 5 ['web', 'email'] 20
## 589 2018-02-07 36000 66-75ys 5 ['web', 'email'] 20
## 590 2015-09-10 75000 66-75ys 5 ['web', 'email'] 20
## 591 2018-06-28 38000 18-25ys 5 ['web', 'email'] 20
## 592 2017-08-23 40000 18-25ys 5 ['web', 'email'] 20
## 593 2017-03-27 40000 56-65ys 5 ['web', 'email'] 20
## 594 2015-08-03 55000 36-45ys 5 ['web', 'email'] 20
## 595 2017-10-10 70000 56-65ys 5 ['web', 'email'] 20
## 596 2015-12-10 93000 56-65ys 5 ['web', 'email'] 20
## 597 2018-04-06 74000 76-85ys 5 ['web', 'email'] 20
## 598 2014-05-17 79000 46-55ys 5 ['web', 'email'] 20
## 599 2017-11-16 79000 46-55ys 5 ['web', 'email'] 20
## 600 2016-10-18 56000 56-65ys 5 ['web', 'email'] 20
## 601 2017-10-23 40000 56-65ys 5 ['web', 'email'] 20
## 602 2014-09-27 91000 66-75ys 5 ['web', 'email'] 20
## 603 2017-11-05 116000 66-75ys 5 ['web', 'email'] 20
## 604 2018-05-25 70000 26-35ys 5 ['web', 'email'] 20
## 605 2018-07-18 64000 56-65ys 5 ['web', 'email'] 20
## 606 2017-10-15 33000 18-25ys 5 ['web', 'email'] 20
## 607 2018-02-09 70000 76-85ys 5 ['web', 'email'] 20
## 608 2017-10-10 89000 66-75ys 5 ['web', 'email'] 20
## 609 2017-07-01 59000 76-85ys 5 ['web', 'email'] 20
## 610 2016-06-09 92000 26-35ys 5 ['web', 'email'] 20
## 611 2018-01-18 67000 66-75ys 5 ['web', 'email'] 20
## 612 2018-07-21 31000 26-35ys 5 ['web', 'email'] 20
## 613 2015-01-12 82000 46-55ys 5 ['web', 'email'] 20
## 614 2018-07-04 39000 36-45ys 5 ['web', 'email'] 20
## 615 2014-12-05 58000 76-85ys 5 ['web', 'email'] 20
## 616 2016-11-26 109000 76-85ys 5 ['web', 'email'] 20
## 617 2017-10-24 98000 46-55ys 5 ['web', 'email'] 20
## 618 2015-09-20 54000 26-35ys 5 ['web', 'email'] 20
## 619 2017-08-11 68000 26-35ys 5 ['web', 'email'] 20
## 620 2016-08-19 70000 66-75ys 5 ['web', 'email'] 20
## 621 2017-11-18 57000 46-55ys 5 ['web', 'email'] 20
## 622 2016-01-21 49000 46-55ys 5 ['web', 'email'] 20
## 623 2018-06-26 84000 66-75ys 5 ['web', 'email'] 20
## 624 2016-07-03 72000 46-55ys 5 ['web', 'email'] 20
## 625 2017-12-17 68000 26-35ys 5 ['web', 'email'] 20
## 626 2017-02-05 55000 46-55ys 5 ['web', 'email'] 20
## 627 2017-11-26 35000 66-75ys 5 ['web', 'email'] 20
## 628 2015-09-12 62000 18-25ys 5 ['web', 'email'] 20
## 629 2018-02-08 58000 56-65ys 5 ['web', 'email'] 20
## 630 2014-06-23 63000 76-85ys 5 ['web', 'email'] 20
## 631 2016-04-30 56000 56-65ys 5 ['web', 'email'] 20
## 632 2016-09-04 37000 76-85ys 5 ['web', 'email'] 20
## 633 2017-10-15 46000 46-55ys 5 ['web', 'email'] 20
## 634 2018-06-10 71000 26-35ys 5 ['web', 'email'] 20
## 635 2016-11-22 47000 66-75ys 5 ['web', 'email'] 20
## 636 2017-10-17 62000 46-55ys 5 ['web', 'email'] 20
## 637 2017-08-29 87000 46-55ys 5 ['web', 'email'] 20
## 638 2017-10-15 42000 36-45ys 5 ['web', 'email'] 20
## 639 2017-07-05 110000 56-65ys 5 ['web', 'email'] 20
## 640 2017-10-23 57000 56-65ys 5 ['web', 'email'] 20
## 641 2017-06-22 82000 66-75ys 5 ['web', 'email'] 20
## 642 2015-12-14 60000 18-25ys 5 ['web', 'email'] 20
## 643 2017-11-13 61000 36-45ys 5 ['web', 'email'] 20
## 644 2016-08-07 73000 46-55ys 5 ['web', 'email'] 20
## 645 2018-06-18 59000 56-65ys 5 ['web', 'email'] 20
## 646 2017-09-24 83000 46-55ys 5 ['web', 'email'] 20
## 647 2018-01-25 61000 56-65ys 5 ['web', 'email'] 20
## 648 2014-01-19 38000 26-35ys 5 ['web', 'email'] 20
## 649 2017-05-02 115000 66-75ys 5 ['web', 'email'] 20
## 650 2016-07-07 55000 46-55ys 5 ['web', 'email'] 20
## 651 2016-02-17 78000 56-65ys 5 ['web', 'email'] 20
## 652 2017-02-22 34000 46-55ys 5 ['web', 'email'] 20
## 653 2018-01-25 77000 76-85ys 5 ['web', 'email'] 20
## 654 2016-02-17 78000 56-65ys 5 ['web', 'email'] 20
## 655 2016-02-28 87000 56-65ys 5 ['web', 'email'] 20
## 656 2017-11-23 100000 56-65ys 5 ['web', 'email'] 20
## 657 2018-02-11 63000 66-75ys 5 ['web', 'email'] 20
## 658 2017-12-18 78000 56-65ys 5 ['web', 'email'] 20
## 659 2017-10-21 49000 18-25ys 5 ['web', 'email'] 20
## 660 2018-01-08 67000 36-45ys 5 ['web', 'email'] 20
## 661 2018-06-29 36000 66-75ys 5 ['web', 'email'] 20
## 662 2017-09-14 73000 > 86ys 5 ['web', 'email'] 20
## 663 2016-05-15 93000 66-75ys 5 ['web', 'email'] 20
## 664 2018-07-09 67000 56-65ys 5 ['web', 'email'] 20
## 665 2018-07-26 32000 76-85ys 5 ['web', 'email'] 20
## 666 2015-12-05 62000 46-55ys 5 ['web', 'email'] 20
## 667 2018-06-26 93000 76-85ys 5 ['web', 'email'] 20
## 668 2016-02-10 36000 66-75ys 5 ['web', 'email'] 20
## 669 2017-01-23 59000 56-65ys 5 ['web', 'email'] 20
## 670 2016-02-05 99000 56-65ys 5 ['web', 'email'] 20
## 671 2016-01-16 31000 56-65ys 5 ['web', 'email'] 20
## 672 2015-08-04 82000 46-55ys 5 ['web', 'email'] 20
## 673 2013-08-15 66000 66-75ys 5 ['web', 'email'] 20
## 674 2016-12-03 77000 46-55ys 5 ['web', 'email'] 20
## 675 2013-10-17 58000 56-65ys 5 ['web', 'email'] 20
## 676 2017-10-18 39000 36-45ys 5 ['web', 'email'] 20
## 677 2016-09-07 101000 66-75ys 5 ['web', 'email'] 20
## 678 2016-04-20 67000 56-65ys 5 ['web', 'email'] 20
## 679 2017-09-03 74000 66-75ys 5 ['web', 'email'] 20
## 680 2017-10-08 39000 26-35ys 5 ['web', 'email'] 20
## 681 2017-08-11 31000 66-75ys 5 ['web', 'email'] 20
## 682 2017-05-18 53000 > 86ys 5 ['web', 'email'] 20
## 683 2017-09-11 67000 76-85ys 5 ['web', 'email'] 20
## 684 2017-10-14 99000 46-55ys 5 ['web', 'email'] 20
## 685 2018-06-03 52000 36-45ys 5 ['web', 'email'] 20
## 686 2017-04-02 53000 18-25ys 5 ['web', 'email'] 20
## 687 2017-04-13 95000 56-65ys 5 ['web', 'email'] 20
## 688 2016-09-17 66000 18-25ys 5 ['web', 'email'] 20
## 689 2017-09-01 105000 46-55ys 5 ['web', 'email'] 20
## 690 2017-04-02 53000 18-25ys 5 ['web', 'email'] 20
## 691 2017-08-28 68000 46-55ys 5 ['web', 'email'] 20
## 692 2018-05-30 35000 26-35ys 5 ['web', 'email'] 20
## 693 2017-11-21 50000 26-35ys 5 ['web', 'email'] 20
## 694 2018-02-21 89000 46-55ys 5 ['web', 'email'] 20
## 695 2018-02-23 70000 18-25ys 5 ['web', 'email'] 20
## 696 2013-12-15 96000 56-65ys 5 ['web', 'email'] 20
## 697 2017-10-28 72000 76-85ys 5 ['web', 'email'] 20
## 698 2017-12-25 61000 46-55ys 5 ['web', 'email'] 20
## 699 2016-08-16 57000 76-85ys 5 ['web', 'email'] 20
## 700 2017-12-10 56000 36-45ys 5 ['web', 'email'] 20
## 701 2018-04-05 41000 46-55ys 5 ['web', 'email'] 20
## 702 2017-12-28 51000 36-45ys 5 ['web', 'email'] 20
## 703 2017-06-26 72000 26-35ys 5 ['web', 'email'] 20
## 704 2017-08-05 57000 36-45ys 5 ['web', 'email'] 20
## 705 2018-05-18 91000 46-55ys 5 ['web', 'email'] 20
## 706 2017-07-29 94000 56-65ys 5 ['web', 'email'] 20
## 707 2017-11-23 50000 36-45ys 5 ['web', 'email'] 20
## 708 2015-12-05 31000 56-65ys 5 ['web', 'email'] 20
## 709 2015-10-11 65000 66-75ys 5 ['web', 'email'] 20
## 710 2017-12-10 65000 46-55ys 5 ['web', 'email'] 20
## 711 2017-12-12 31000 56-65ys 5 ['web', 'email'] 20
## 712 2017-11-28 74000 46-55ys 5 ['web', 'email'] 20
## 713 2016-06-18 65000 56-65ys 5 ['web', 'email'] 20
## 714 2016-04-23 68000 46-55ys 5 ['web', 'email'] 20
## 715 2016-07-26 80000 56-65ys 5 ['web', 'email'] 20
## 716 2016-03-25 68000 66-75ys 5 ['web', 'email'] 20
## 717 2015-02-23 54000 46-55ys 5 ['web', 'email'] 20
## 718 2016-12-21 99000 36-45ys 5 ['web', 'email'] 20
## 719 2018-07-18 51000 56-65ys 5 ['web', 'email'] 20
## 720 2015-09-30 38000 18-25ys 5 ['web', 'email'] 20
## 721 2016-05-20 56000 26-35ys 5 ['web', 'email'] 20
## 722 2017-02-03 58000 36-45ys 5 ['web', 'email'] 20
## 723 2017-08-05 81000 76-85ys 5 ['web', 'email'] 20
## 724 2018-04-24 71000 56-65ys 5 ['web', 'email'] 20
## 725 2018-05-14 56000 56-65ys 5 ['web', 'email'] 20
## 726 2017-10-28 66000 66-75ys 5 ['web', 'email'] 20
## 727 2018-05-26 64000 36-45ys 5 ['web', 'email'] 20
## 728 2018-02-14 103000 76-85ys 5 ['web', 'email'] 20
## 729 2017-02-03 58000 36-45ys 5 ['web', 'email'] 20
## 730 2018-01-18 109000 66-75ys 5 ['web', 'email'] 20
## 731 2016-02-26 102000 66-75ys 5 ['web', 'email'] 20
## 732 2017-11-20 53000 46-55ys 5 ['web', 'email'] 20
## 733 2016-07-04 66000 66-75ys 5 ['web', 'email'] 20
## 734 2015-12-25 59000 56-65ys 5 ['web', 'email'] 20
## 735 2018-05-19 77000 66-75ys 5 ['web', 'email'] 20
## 736 2016-07-31 84000 66-75ys 5 ['web', 'email'] 20
## 737 2013-10-26 73000 46-55ys 5 ['web', 'email'] 20
## 738 2017-08-25 35000 56-65ys 5 ['web', 'email'] 20
## 739 2017-02-04 82000 46-55ys 5 ['web', 'email'] 20
## 740 2014-12-05 58000 76-85ys 5 ['web', 'email'] 20
## 741 2017-10-31 64000 66-75ys 5 ['web', 'email'] 20
## 742 2016-10-16 93000 46-55ys 5 ['web', 'email'] 20
## 743 2017-02-04 82000 46-55ys 5 ['web', 'email'] 20
## 744 2014-03-21 69000 18-25ys 5 ['web', 'email'] 20
## 745 2016-04-14 100000 36-45ys 5 ['web', 'email'] 20
## 746 2017-02-14 90000 46-55ys 5 ['web', 'email'] 20
## 747 2015-11-10 33000 46-55ys 5 ['web', 'email'] 20
## 748 2014-11-11 35000 66-75ys 5 ['web', 'email'] 20
## 749 2017-01-15 51000 66-75ys 5 ['web', 'email'] 20
## 750 2017-11-16 71000 36-45ys 5 ['web', 'email'] 20
## 751 2017-10-22 40000 26-35ys 5 ['web', 'email'] 20
## 752 2017-03-12 94000 66-75ys 5 ['web', 'email'] 20
## 753 2016-09-04 37000 76-85ys 5 ['web', 'email'] 20
## 754 2015-12-12 85000 66-75ys 5 ['web', 'email'] 20
## 755 2015-09-20 36000 46-55ys 5 ['web', 'email'] 20
## 756 2017-11-29 58000 46-55ys 5 ['web', 'email'] 20
## 757 2018-07-25 96000 76-85ys 5 ['web', 'email'] 20
## 758 2018-01-25 45000 26-35ys 5 ['web', 'email'] 20
## 759 2017-12-10 55000 46-55ys 5 ['web', 'email'] 20
## 760 2018-05-14 56000 56-65ys 5 ['web', 'email'] 20
## 761 2017-02-20 104000 56-65ys 5 ['web', 'email'] 20
## 762 2017-10-19 109000 66-75ys 5 ['web', 'email'] 20
## 763 2017-09-19 77000 46-55ys 5 ['web', 'email'] 20
## 764 2017-09-04 96000 66-75ys 5 ['web', 'email'] 20
## 765 2016-04-16 68000 66-75ys 5 ['web', 'email'] 20
## 766 2016-05-08 76000 56-65ys 5 ['web', 'email'] 20
## 767 2017-10-01 31000 76-85ys 5 ['web', 'email'] 20
## 768 2017-03-12 81000 56-65ys 5 ['web', 'email'] 20
## 769 2017-01-31 58000 66-75ys 5 ['web', 'email'] 20
## 770 2016-09-29 81000 56-65ys 5 ['web', 'email'] 20
## 771 2016-10-22 85000 > 86ys 5 ['web', 'email'] 20
## 772 2018-03-29 78000 66-75ys 5 ['web', 'email'] 20
## 773 2017-03-10 107000 76-85ys 5 ['web', 'email'] 20
## 774 2017-12-08 81000 46-55ys 5 ['web', 'email'] 20
## 775 2017-07-27 95000 76-85ys 5 ['web', 'email'] 20
## 776 2017-04-30 57000 18-25ys 5 ['web', 'email'] 20
## 777 2018-02-10 65000 36-45ys 5 ['web', 'email'] 20
## 778 2018-03-25 79000 56-65ys 5 ['web', 'email'] 20
## 779 2016-03-28 97000 46-55ys 5 ['web', 'email'] 20
## 780 2018-02-17 47000 46-55ys 5 ['web', 'email'] 20
## 781 2016-08-10 86000 46-55ys 5 ['web', 'email'] 20
## 782 2017-04-22 71000 46-55ys 5 ['web', 'email'] 20
## 783 2018-01-26 65000 18-25ys 5 ['web', 'email'] 20
## 784 2015-10-23 75000 56-65ys 5 ['web', 'email'] 20
## 785 2018-05-26 49000 26-35ys 5 ['web', 'email'] 20
## 786 2014-01-09 69000 66-75ys 5 ['web', 'email'] 20
## 787 2017-08-19 77000 56-65ys 5 ['web', 'email'] 20
## 788 2017-09-14 73000 > 86ys 5 ['web', 'email'] 20
## 789 2018-07-26 74000 36-45ys 5 ['web', 'email'] 20
## 790 2015-10-14 84000 46-55ys 5 ['web', 'email'] 20
## 791 2015-10-17 64000 46-55ys 5 ['web', 'email'] 20
## 792 2016-06-06 75000 46-55ys 5 ['web', 'email'] 20
## 793 2015-07-22 75000 66-75ys 5 ['web', 'email'] 20
## 794 2017-07-26 95000 > 86ys 5 ['web', 'email'] 20
## 795 2018-03-15 50000 18-25ys 5 ['web', 'email'] 20
## 796 2015-10-31 81000 56-65ys 5 ['web', 'email'] 20
## 797 2018-03-01 36000 26-35ys 5 ['web', 'email'] 20
## 798 2017-10-29 95000 46-55ys 5 ['web', 'email'] 20
## 799 2015-09-05 57000 46-55ys 5 ['web', 'email'] 20
## 800 2018-01-14 52000 36-45ys 5 ['web', 'email'] 20
## 801 2016-05-31 75000 36-45ys 5 ['web', 'email'] 20
## 802 2017-04-25 73000 26-35ys 5 ['web', 'email'] 20
## 803 2016-11-13 65000 26-35ys 5 ['web', 'email'] 20
## 804 2017-12-13 40000 46-55ys 5 ['web', 'email'] 20
## 805 2016-01-03 90000 56-65ys 5 ['web', 'email'] 20
## 806 2017-11-21 50000 26-35ys 5 ['web', 'email'] 20
## 807 2017-11-13 59000 18-25ys 5 ['web', 'email'] 20
## 808 2016-05-02 88000 76-85ys 5 ['web', 'email'] 20
## 809 2017-09-15 102000 66-75ys 5 ['web', 'email'] 20
## 810 2016-06-25 58000 36-45ys 5 ['web', 'email'] 20
## 811 2017-11-23 91000 56-65ys 5 ['web', 'email'] 20
## 812 2016-04-07 51000 76-85ys 5 ['web', 'email'] 20
## 813 2018-01-04 73000 66-75ys 5 ['web', 'email'] 20
## 814 2017-09-03 56000 56-65ys 5 ['web', 'email'] 20
## 815 2018-01-24 31000 36-45ys 5 ['web', 'email'] 20
## 816 2016-09-02 64000 46-55ys 5 ['web', 'email'] 20
## 817 2017-10-18 50000 26-35ys 5 ['web', 'email'] 20
## 818 2016-10-22 43000 56-65ys 5 ['web', 'email'] 20
## 819 2014-09-10 54000 66-75ys 5 ['web', 'email'] 20
## 820 2017-08-19 57000 26-35ys 5 ['web', 'email'] 20
## 821 2017-10-18 50000 26-35ys 5 ['web', 'email'] 20
## 822 2017-10-28 37000 56-65ys 5 ['web', 'email'] 20
## 823 2017-11-02 99000 56-65ys 5 ['web', 'email'] 20
## 824 2017-02-27 88000 66-75ys 5 ['web', 'email'] 20
## 825 2018-01-13 59000 46-55ys 5 ['web', 'email'] 20
## 826 2017-06-26 72000 26-35ys 5 ['web', 'email'] 20
## 827 2017-12-20 64000 66-75ys 5 ['web', 'email'] 20
## 828 2017-12-12 34000 26-35ys 5 ['web', 'email'] 20
## 829 2018-03-18 74000 66-75ys 5 ['web', 'email'] 20
## 830 2017-08-24 60000 46-55ys 5 ['web', 'email'] 20
## 831 2016-05-29 55000 46-55ys 5 ['web', 'email'] 20
## 832 2017-08-31 50000 18-25ys 5 ['web', 'email'] 20
## 833 2016-10-24 69000 46-55ys 5 ['web', 'email'] 20
## 834 2017-11-14 39000 36-45ys 5 ['web', 'email'] 20
## 835 2018-01-19 103000 46-55ys 5 ['web', 'email'] 20
## 836 2017-09-26 48000 26-35ys 5 ['web', 'email'] 20
## 837 2017-01-10 55000 46-55ys 5 ['web', 'email'] 20
## 838 2017-12-08 58000 26-35ys 5 ['web', 'email'] 20
## 839 2016-07-22 119000 46-55ys 5 ['web', 'email'] 20
## 840 2018-06-24 58000 56-65ys 5 ['web', 'email'] 20
## 841 2018-07-05 92000 46-55ys 5 ['web', 'email'] 20
## 842 2018-03-09 71000 56-65ys 5 ['web', 'email'] 20
## 843 2016-09-24 39000 66-75ys 5 ['web', 'email'] 20
## 844 2017-11-04 53000 18-25ys 5 ['web', 'email'] 20
## 845 2017-01-24 82000 46-55ys 5 ['web', 'email'] 20
## 846 2015-11-06 79000 46-55ys 5 ['web', 'email'] 20
## 847 2016-01-02 56000 36-45ys 5 ['web', 'email'] 20
## 848 2014-02-08 44000 26-35ys 5 ['web', 'email'] 20
## 849 2017-09-28 39000 18-25ys 5 ['web', 'email'] 20
## 850 2016-11-25 71000 56-65ys 5 ['web', 'email'] 20
## 851 2015-03-24 36000 66-75ys 5 ['web', 'email'] 20
## 852 2017-10-10 71000 26-35ys 5 ['web', 'email'] 20
## 853 2017-10-07 64000 46-55ys 5 ['web', 'email'] 20
## 854 2018-01-06 58000 66-75ys 5 ['web', 'email'] 20
## 855 2017-05-14 96000 56-65ys 5 ['web', 'email'] 20
## 856 2017-12-09 88000 46-55ys 5 ['web', 'email'] 20
## 857 2015-05-13 31000 36-45ys 5 ['web', 'email'] 20
## 858 2017-07-05 69000 26-35ys 5 ['web', 'email'] 20
## 859 2017-01-17 95000 56-65ys 5 ['web', 'email'] 20
## 860 2016-05-03 44000 36-45ys 5 ['web', 'email'] 20
## 861 2017-05-17 74000 36-45ys 5 ['web', 'email'] 20
## 862 2017-11-25 61000 36-45ys 5 ['web', 'email'] 20
## 863 2018-01-03 103000 56-65ys 5 ['web', 'email'] 20
## 864 2017-09-08 68000 56-65ys 5 ['web', 'email'] 20
## 865 2017-12-09 58000 18-25ys 5 ['web', 'email'] 20
## 866 2018-03-15 47000 66-75ys 5 ['web', 'email'] 20
## 867 2018-03-28 64000 46-55ys 5 ['web', 'email'] 20
## 868 2015-05-25 57000 66-75ys 5 ['web', 'email'] 20
## 869 2018-03-17 37000 18-25ys 5 ['web', 'email'] 20
## 870 2016-02-19 80000 76-85ys 5 ['web', 'email'] 20
## 871 2017-08-20 72000 66-75ys 5 ['web', 'email'] 20
## 872 2017-04-05 66000 76-85ys 5 ['web', 'email'] 20
## 873 2018-05-21 33000 56-65ys 5 ['web', 'email'] 20
## 874 2018-05-31 65000 26-35ys 5 ['web', 'email'] 20
## 875 2017-09-20 48000 46-55ys 5 ['web', 'email'] 20
## 876 2018-01-28 63000 26-35ys 5 ['web', 'email'] 20
## 877 2017-09-05 98000 46-55ys 5 ['web', 'email'] 20
## 878 2015-11-20 60000 36-45ys 5 ['web', 'email'] 20
## 879 2016-11-11 75000 36-45ys 5 ['web', 'email'] 20
## 880 2015-08-16 53000 > 86ys 5 ['web', 'email'] 20
## 881 2017-11-14 41000 26-35ys 5 ['web', 'email'] 20
## 882 2016-08-20 52000 66-75ys 5 ['web', 'email'] 20
## 883 2018-05-05 75000 66-75ys 5 ['web', 'email'] 20
## 884 2013-09-18 37000 66-75ys 5 ['web', 'email'] 20
## 885 2017-03-12 67000 36-45ys 5 ['web', 'email'] 20
## 886 2017-10-13 58000 36-45ys 5 ['web', 'email'] 20
## 887 2017-10-01 73000 46-55ys 5 ['web', 'email'] 20
## 888 2015-11-05 37000 36-45ys 5 ['web', 'email'] 20
## 889 2017-12-30 58000 36-45ys 5 ['web', 'email'] 20
## 890 2017-12-28 41000 26-35ys 5 ['web', 'email'] 20
## 891 2018-01-21 32000 36-45ys 5 ['web', 'email'] 20
## 892 2017-08-02 120000 56-65ys 5 ['web', 'email'] 20
## 893 2017-06-21 88000 46-55ys 5 ['web', 'email'] 20
## 894 2017-02-05 34000 26-35ys 5 ['web', 'email'] 20
## 895 2014-12-23 54000 56-65ys 5 ['web', 'email'] 20
## 896 2017-06-13 91000 46-55ys 5 ['web', 'email'] 20
## 897 2014-03-17 99000 36-45ys 5 ['web', 'email'] 20
## 898 2017-09-19 77000 46-55ys 5 ['web', 'email'] 20
## 899 2018-04-17 76000 36-45ys 5 ['web', 'email'] 20
## 900 2015-12-09 52000 46-55ys 5 ['web', 'email'] 20
## 901 2014-09-22 99000 56-65ys 5 ['web', 'email'] 20
## 902 2016-04-12 79000 56-65ys 5 ['web', 'email'] 20
## 903 2013-08-20 47000 36-45ys 5 ['web', 'email'] 20
## 904 2018-07-17 50000 46-55ys 5 ['web', 'email'] 20
## 905 2016-08-09 71000 56-65ys 5 ['web', 'email'] 20
## 906 2015-11-19 76000 > 86ys 5 ['web', 'email'] 20
## 907 2017-11-03 58000 26-35ys 5 ['web', 'email'] 20
## 908 2016-12-19 108000 66-75ys 5 ['web', 'email'] 20
## 909 2016-07-21 46000 66-75ys 5 ['web', 'email'] 20
## 910 2018-01-27 88000 56-65ys 5 ['web', 'email'] 20
## 911 2015-12-18 114000 46-55ys 5 ['web', 'email'] 20
## 912 2017-07-25 92000 56-65ys 5 ['web', 'email'] 20
## 913 2017-08-05 61000 56-65ys 5 ['web', 'email'] 20
## 914 2018-02-07 48000 18-25ys 5 ['web', 'email'] 20
## 915 2016-11-02 60000 26-35ys 5 ['web', 'email'] 20
## 916 2016-11-06 98000 56-65ys 5 ['web', 'email'] 20
## 917 2018-04-22 71000 66-75ys 5 ['web', 'email'] 20
## 918 2017-12-30 57000 56-65ys 5 ['web', 'email'] 20
## 919 2016-03-23 31000 56-65ys 5 ['web', 'email'] 20
## 920 2018-01-19 45000 26-35ys 5 ['web', 'email'] 20
## 921 2017-12-26 70000 18-25ys 5 ['web', 'email'] 20
## 922 2017-10-07 118000 66-75ys 5 ['web', 'email'] 20
## 923 2018-02-13 54000 46-55ys 5 ['web', 'email'] 20
## 924 2017-04-13 68000 > 86ys 5 ['web', 'email'] 20
## 925 2017-06-01 83000 66-75ys 5 ['web', 'email'] 20
## 926 2017-01-18 30000 46-55ys 5 ['web', 'email'] 20
## 927 2017-02-09 45000 36-45ys 5 ['web', 'email'] 20
## 928 2016-11-02 70000 56-65ys 5 ['web', 'email'] 20
## 929 2017-10-20 59000 66-75ys 5 ['web', 'email'] 20
## 930 2016-08-03 110000 66-75ys 5 ['web', 'email'] 20
## 931 2013-10-06 90000 46-55ys 5 ['web', 'email'] 20
## 932 2015-10-31 81000 56-65ys 5 ['web', 'email'] 20
## 933 2014-02-14 52000 66-75ys 5 ['web', 'email'] 20
## 934 2017-12-27 42000 46-55ys 5 ['web', 'email'] 20
## 935 2017-08-21 49000 56-65ys 5 ['web', 'email'] 20
## 936 2017-11-11 106000 66-75ys 5 ['web', 'email'] 20
## 937 2015-08-05 41000 26-35ys 5 ['web', 'email'] 20
## 938 2016-06-12 48000 > 86ys 5 ['web', 'email'] 20
## 939 2018-04-16 43000 36-45ys 5 ['web', 'email'] 20
## 940 2017-12-06 42000 26-35ys 5 ['web', 'email'] 20
## 941 2017-09-24 113000 46-55ys 5 ['web', 'email'] 20
## 942 2017-03-11 118000 76-85ys 5 ['web', 'email'] 20
## 943 2018-01-25 55000 46-55ys 5 ['web', 'email'] 20
## 944 2016-06-08 66000 76-85ys 5 ['web', 'email'] 20
## 945 2015-09-26 119000 66-75ys 5 ['web', 'email'] 20
## 946 2014-09-10 54000 66-75ys 5 ['web', 'email'] 20
## 947 2016-02-09 91000 56-65ys 5 ['web', 'email'] 20
## 948 2016-04-23 68000 46-55ys 5 ['web', 'email'] 20
## 949 2017-09-03 56000 56-65ys 5 ['web', 'email'] 20
## 950 2018-02-25 92000 66-75ys 5 ['web', 'email'] 20
## 951 2017-08-31 74000 56-65ys 5 ['web', 'email'] 20
## 952 2017-11-11 57000 36-45ys 5 ['web', 'email'] 20
## 953 2017-01-03 78000 46-55ys 5 ['web', 'email'] 20
## 954 2017-02-15 30000 36-45ys 5 ['web', 'email'] 20
## 955 2018-07-15 60000 18-25ys 5 ['web', 'email'] 20
## 956 2014-04-24 80000 56-65ys 5 ['web', 'email'] 20
## 957 2017-09-18 108000 66-75ys 5 ['web', 'email'] 20
## 958 2016-05-14 36000 18-25ys 5 ['web', 'email'] 20
## 959 2015-07-06 79000 76-85ys 5 ['web', 'email'] 20
## 960 2016-09-11 37000 26-35ys 5 ['web', 'email'] 20
## 961 2017-12-05 81000 76-85ys 5 ['web', 'email'] 20
## 962 2017-11-20 60000 36-45ys 5 ['web', 'email'] 20
## 963 2017-08-07 41000 66-75ys 5 ['web', 'email'] 20
## 964 2016-04-05 49000 46-55ys 5 ['web', 'email'] 20
## 965 2015-12-28 80000 46-55ys 5 ['web', 'email'] 20
## 966 2017-03-23 95000 76-85ys 5 ['web', 'email'] 20
## 967 2018-03-17 83000 46-55ys 5 ['web', 'email'] 20
## 968 2018-03-11 70000 18-25ys 5 ['web', 'email'] 20
## 969 2016-06-30 92000 66-75ys 5 ['web', 'email'] 20
## 970 2016-02-13 52000 56-65ys 5 ['web', 'email'] 20
## 971 2017-12-03 34000 26-35ys 5 ['web', 'email'] 20
## 972 2017-02-11 66000 36-45ys 5 ['web', 'email'] 20
## 973 2017-07-27 53000 18-25ys 5 ['web', 'email'] 20
## 974 2016-09-22 75000 36-45ys 5 ['web', 'email'] 20
## 975 2017-06-28 60000 18-25ys 5 ['web', 'email'] 20
## 976 2015-11-03 53000 18-25ys 5 ['web', 'email'] 20
## 977 2016-01-20 75000 26-35ys 5 ['web', 'email'] 20
## 978 2017-03-13 57000 56-65ys 5 ['web', 'email'] 20
## 979 2016-12-20 46000 46-55ys 5 ['web', 'email'] 20
## 980 2018-01-23 72000 56-65ys 5 ['web', 'email'] 20
## 981 2017-06-28 60000 18-25ys 5 ['web', 'email'] 20
## 982 2018-02-22 82000 66-75ys 5 ['web', 'email'] 20
## 983 2016-09-29 66000 46-55ys 5 ['web', 'email'] 20
## 984 2016-08-09 71000 46-55ys 5 ['web', 'email'] 20
## 985 2017-10-13 48000 18-25ys 5 ['web', 'email'] 20
## 986 2015-11-21 81000 46-55ys 5 ['web', 'email'] 20
## 987 2017-07-26 87000 76-85ys 5 ['web', 'email'] 20
## 988 2017-12-10 72000 36-45ys 5 ['web', 'email'] 20
## 989 2018-01-08 72000 76-85ys 5 ['web', 'email'] 20
## 990 2016-05-29 108000 66-75ys 5 ['web', 'email'] 20
## 991 2018-07-13 57000 66-75ys 5 ['web', 'email'] 20
## 992 2017-07-28 72000 76-85ys 5 ['web', 'email'] 20
## 993 2016-04-12 114000 76-85ys 5 ['web', 'email'] 20
## 994 2018-05-05 56000 26-35ys 5 ['web', 'email'] 20
## 995 2018-06-14 43000 36-45ys 5 ['web', 'email'] 20
## 996 2018-04-21 51000 56-65ys 5 ['web', 'email'] 20
## 997 2018-05-16 84000 36-45ys 5 ['web', 'email'] 20
## 998 2017-09-26 63000 36-45ys 5 ['web', 'email'] 20
## 999 2016-06-20 89000 66-75ys 5 ['web', 'email'] 20
## 1000 2016-12-30 97000 76-85ys 5 ['web', 'email'] 20
## 1001 2017-02-23 73000 18-25ys 5 ['web', 'email'] 20
## 1002 2017-06-22 82000 66-75ys 5 ['web', 'email'] 20
## 1003 2017-02-17 77000 46-55ys 5 ['web', 'email'] 20
## 1004 2014-07-08 67000 66-75ys 5 ['web', 'email'] 20
## 1005 2015-09-07 84000 66-75ys 5 ['web', 'email'] 20
## 1006 2016-11-29 85000 46-55ys 5 ['web', 'email'] 20
## 1007 2017-03-10 107000 76-85ys 5 ['web', 'email'] 20
## 1008 2018-07-26 70000 36-45ys 5 ['web', 'email'] 20
## 1009 2015-08-24 52000 46-55ys 5 ['web', 'email'] 20
## 1010 2017-08-05 50000 46-55ys 5 ['web', 'email'] 20
## 1011 2017-08-19 116000 46-55ys 5 ['web', 'email'] 20
## 1012 2015-10-18 38000 46-55ys 5 ['web', 'email'] 20
## 1013 2016-04-03 32000 66-75ys 5 ['web', 'email'] 20
## 1014 2016-05-06 98000 56-65ys 5 ['web', 'email'] 20
## 1015 2016-08-30 119000 46-55ys 5 ['web', 'email'] 20
## 1016 2018-01-24 97000 56-65ys 5 ['web', 'email'] 20
## 1017 2015-04-07 70000 36-45ys 5 ['web', 'email'] 20
## 1018 2017-05-19 48000 46-55ys 5 ['web', 'email'] 20
## 1019 2015-09-30 81000 76-85ys 5 ['web', 'email'] 20
## 1020 2017-10-14 71000 36-45ys 5 ['web', 'email'] 20
## 1021 2018-01-19 60000 46-55ys 5 ['web', 'email'] 20
## 1022 2018-05-08 92000 66-75ys 5 ['web', 'email'] 20
## 1023 2017-11-14 41000 26-35ys 5 ['web', 'email'] 20
## 1024 2014-04-26 51000 66-75ys 5 ['web', 'email'] 20
## 1025 2017-11-07 106000 66-75ys 5 ['web', 'email'] 20
## 1026 2016-04-12 69000 36-45ys 5 ['web', 'email'] 20
## 1027 2018-07-09 93000 66-75ys 5 ['web', 'email'] 20
## 1028 2016-10-14 105000 66-75ys 5 ['web', 'email'] 20
## 1029 2017-06-03 72000 46-55ys 5 ['web', 'email'] 20
## 1030 2016-12-31 95000 56-65ys 5 ['web', 'email'] 20
## 1031 2016-09-16 53000 56-65ys 5 ['web', 'email'] 20
## 1032 2017-10-09 65000 56-65ys 5 ['web', 'email'] 20
## 1033 2018-01-23 97000 56-65ys 5 ['web', 'email'] 20
## 1034 2018-01-18 85000 46-55ys 5 ['web', 'email'] 20
## 1035 2018-07-11 38000 66-75ys 5 ['web', 'email'] 20
## 1036 2015-12-16 77000 46-55ys 5 ['web', 'email'] 20
## 1037 2017-11-29 66000 26-35ys 5 ['web', 'email'] 20
## 1038 2016-11-14 74000 18-25ys 5 ['web', 'email'] 20
## 1039 2016-04-07 63000 66-75ys 5 ['web', 'email'] 20
## 1040 2016-06-01 59000 56-65ys 5 ['web', 'email'] 20
## 1041 2016-07-31 107000 46-55ys 5 ['web', 'email'] 20
## 1042 2016-05-31 75000 36-45ys 5 ['web', 'email'] 20
## 1043 2018-03-18 55000 56-65ys 5 ['web', 'email'] 20
## 1044 2016-06-10 73000 66-75ys 5 ['web', 'email'] 20
## 1045 2015-07-30 87000 46-55ys 5 ['web', 'email'] 20
## 1046 2014-01-27 73000 36-45ys 5 ['web', 'email'] 20
## 1047 2015-12-10 93000 56-65ys 5 ['web', 'email'] 20
## 1048 2015-03-05 92000 46-55ys 5 ['web', 'email'] 20
## 1049 2018-06-05 88000 46-55ys 5 ['web', 'email'] 20
## 1050 2018-02-07 36000 66-75ys 5 ['web', 'email'] 20
## 1051 2017-11-14 68000 46-55ys 5 ['web', 'email'] 20
## 1052 2014-07-06 45000 56-65ys 5 ['web', 'email'] 20
## 1053 2017-09-22 84000 56-65ys 5 ['web', 'email'] 20
## 1054 2018-07-15 60000 18-25ys 5 ['web', 'email'] 20
## 1055 2018-02-11 73000 18-25ys 5 ['web', 'email'] 20
## 1056 2016-09-28 102000 76-85ys 5 ['web', 'email'] 20
## 1057 2016-05-02 50000 36-45ys 5 ['web', 'email'] 20
## 1058 2017-04-01 97000 46-55ys 5 ['web', 'email'] 20
## 1059 2017-08-11 35000 46-55ys 5 ['web', 'email'] 20
## 1060 2018-05-27 66000 56-65ys 5 ['web', 'email'] 20
## 1061 2016-12-16 43000 56-65ys 5 ['web', 'email'] 20
## 1062 2015-02-26 68000 > 86ys 5 ['web', 'email'] 20
## 1063 2017-08-29 67000 56-65ys 5 ['web', 'email'] 20
## 1064 2017-04-30 73000 76-85ys 5 ['web', 'email'] 20
## 1065 2017-12-27 60000 56-65ys 5 ['web', 'email'] 20
## 1066 2018-06-26 33000 26-35ys 5 ['web', 'email'] 20
## 1067 2017-11-12 56000 26-35ys 5 ['web', 'email'] 20
## 1068 2016-01-03 82000 56-65ys 5 ['web', 'email'] 20
## 1069 2016-05-20 100000 66-75ys 5 ['web', 'email'] 20
## 1070 2017-02-20 94000 56-65ys 5 ['web', 'email'] 20
## 1071 2015-11-26 47000 26-35ys 5 ['web', 'email'] 20
## 1072 2017-10-14 103000 46-55ys 5 ['web', 'email'] 20
## 1073 2015-10-07 66000 76-85ys 5 ['web', 'email'] 20
## 1074 2017-09-12 77000 56-65ys 5 ['web', 'email'] 20
## 1075 2018-04-14 64000 56-65ys 5 ['web', 'email'] 20
## 1076 2016-11-24 74000 18-25ys 5 ['web', 'email'] 20
## 1077 2017-08-06 37000 26-35ys 5 ['web', 'email'] 20
## 1078 2017-10-14 103000 46-55ys 5 ['web', 'email'] 20
## 1079 2017-07-12 44000 56-65ys 5 ['web', 'email'] 20
## 1080 2016-05-29 55000 46-55ys 5 ['web', 'email'] 20
## 1081 2018-03-16 52000 26-35ys 5 ['web', 'email'] 20
## 1082 2017-04-13 72000 66-75ys 5 ['web', 'email'] 20
## 1083 2016-08-07 55000 66-75ys 5 ['web', 'email'] 20
## 1084 2017-11-19 86000 56-65ys 5 ['web', 'email'] 20
## 1085 2018-02-14 66000 56-65ys 5 ['web', 'email'] 20
## 1086 2016-01-16 86000 56-65ys 5 ['web', 'email'] 20
## 1087 2016-02-25 59000 26-35ys 5 ['web', 'email'] 20
## 1088 2016-08-28 66000 46-55ys 5 ['web', 'email'] 20
## 1089 2017-11-18 50000 36-45ys 5 ['web', 'email'] 20
## 1090 2017-09-26 33000 56-65ys 5 ['web', 'email'] 20
## 1091 2016-12-27 68000 56-65ys 5 ['web', 'email'] 20
## 1092 2017-12-20 64000 36-45ys 5 ['web', 'email'] 20
## 1093 2018-01-24 75000 66-75ys 5 ['web', 'email'] 20
## 1094 2017-10-05 33000 76-85ys 5 ['web', 'email'] 20
## 1095 2017-07-08 36000 46-55ys 5 ['web', 'email'] 20
## 1096 2017-09-20 58000 46-55ys 5 ['web', 'email'] 20
## 1097 2018-01-24 75000 66-75ys 5 ['web', 'email'] 20
## 1098 2017-06-30 79000 66-75ys 5 ['web', 'email'] 20
## 1099 2017-06-12 62000 56-65ys 5 ['web', 'email'] 20
## 1100 2017-08-11 65000 56-65ys 5 ['web', 'email'] 20
## 1101 2018-04-22 52000 56-65ys 5 ['web', 'email'] 20
## 1102 2018-05-19 77000 66-75ys 5 ['web', 'email'] 20
## 1103 2016-03-17 53000 26-35ys 5 ['web', 'email'] 20
## 1104 2014-11-14 55000 36-45ys 5 ['web', 'email'] 20
## 1105 2016-09-25 93000 66-75ys 5 ['web', 'email'] 20
## 1106 2017-02-22 71000 66-75ys 5 ['web', 'email'] 20
## 1107 2018-07-19 74000 > 86ys 5 ['web', 'email'] 20
## 1108 2016-11-05 93000 56-65ys 5 ['web', 'email'] 20
## 1109 2017-12-24 58000 46-55ys 5 ['web', 'email'] 20
## 1110 2017-06-30 39000 46-55ys 5 ['web', 'email'] 20
## 1111 2016-01-15 106000 46-55ys 5 ['web', 'email'] 20
## 1112 2018-04-27 71000 46-55ys 5 ['web', 'email'] 20
## 1113 2015-08-09 75000 76-85ys 5 ['web', 'email'] 20
## 1114 2018-02-23 60000 26-35ys 5 ['web', 'email'] 20
## 1115 2018-07-02 47000 36-45ys 5 ['web', 'email'] 20
## 1116 2017-03-10 79000 66-75ys 5 ['web', 'email'] 20
## 1117 2017-06-04 56000 76-85ys 5 ['web', 'email'] 20
## 1118 2016-07-10 63000 46-55ys 5 ['web', 'email'] 20
## 1119 2017-12-07 59000 56-65ys 5 ['web', 'email'] 20
## 1120 2016-12-27 81000 46-55ys 5 ['web', 'email'] 20
## 1121 2018-07-18 51000 56-65ys 5 ['web', 'email'] 20
## 1122 2017-07-28 72000 76-85ys 5 ['web', 'email'] 20
## 1123 2018-02-25 85000 66-75ys 5 ['web', 'email'] 20
## 1124 2017-08-11 32000 66-75ys 5 ['web', 'email'] 20
## 1125 2016-08-29 107000 66-75ys 5 ['web', 'email'] 20
## 1126 2016-04-06 95000 66-75ys 5 ['web', 'email'] 20
## 1127 2018-02-02 55000 36-45ys 5 ['web', 'email'] 20
## 1128 2015-08-24 83000 66-75ys 5 ['web', 'email'] 20
## 1129 2018-02-07 67000 76-85ys 5 ['web', 'email'] 20
## 1130 2016-04-22 88000 66-75ys 5 ['web', 'email'] 20
## 1131 2016-03-18 65000 56-65ys 5 ['web', 'email'] 20
## 1132 2017-07-10 69000 56-65ys 5 ['web', 'email'] 20
## 1133 2016-06-24 95000 36-45ys 5 ['web', 'email'] 20
## 1134 2015-12-14 76000 66-75ys 5 ['web', 'email'] 20
## 1135 2017-09-23 35000 56-65ys 5 ['web', 'email'] 20
## 1136 2015-07-29 88000 76-85ys 5 ['web', 'email'] 20
## 1137 2017-06-03 87000 36-45ys 5 ['web', 'email'] 20
## 1138 2018-01-26 53000 36-45ys 5 ['web', 'email'] 20
## 1139 2017-12-03 37000 36-45ys 5 ['web', 'email'] 20
## 1140 2015-12-11 79000 66-75ys 5 ['web', 'email'] 20
## 1141 2018-05-22 42000 26-35ys 5 ['web', 'email'] 20
## 1142 2017-10-30 51000 46-55ys 5 ['web', 'email'] 20
## 1143 2016-03-07 34000 56-65ys 5 ['web', 'email'] 20
## 1144 2016-12-19 108000 66-75ys 5 ['web', 'email'] 20
## 1145 2016-11-14 37000 76-85ys 5 ['web', 'email'] 20
## 1146 2016-03-16 70000 46-55ys 5 ['web', 'email'] 20
## 1147 2018-05-31 54000 46-55ys 5 ['web', 'email'] 20
## 1148 2018-03-27 74000 56-65ys 5 ['web', 'email'] 20
## 1149 2018-01-26 99000 66-75ys 5 ['web', 'email'] 20
## 1150 2016-09-29 81000 56-65ys 5 ['web', 'email'] 20
## 1151 2016-05-25 35000 66-75ys 5 ['web', 'email'] 20
## 1152 2017-09-09 90000 26-35ys 5 ['web', 'email'] 20
## 1153 2017-07-29 72000 18-25ys 5 ['web', 'email'] 20
## 1154 2017-10-19 81000 46-55ys 5 ['web', 'email'] 20
## 1155 2018-01-22 63000 56-65ys 5 ['web', 'email'] 20
## 1156 2018-07-26 33000 26-35ys 5 ['web', 'email'] 20
## 1157 2015-08-15 61000 18-25ys 5 ['web', 'email'] 20
## 1158 2018-06-13 76000 56-65ys 5 ['web', 'email'] 20
## 1159 2018-07-26 74000 36-45ys 5 ['web', 'email'] 20
## 1160 2017-09-12 81000 56-65ys 5 ['web', 'email'] 20
## 1161 2017-01-22 64000 26-35ys 5 ['web', 'email'] 20
## 1162 2017-10-03 48000 18-25ys 5 ['web', 'email'] 20
## 1163 2014-09-22 99000 56-65ys 5 ['web', 'email'] 20
## 1164 2017-01-10 56000 76-85ys 5 ['web', 'email'] 20
## 1165 2015-05-07 48000 46-55ys 5 ['web', 'email'] 20
## 1166 2018-07-11 38000 66-75ys 5 ['web', 'email'] 20
## 1167 2018-02-05 53000 36-45ys 5 ['web', 'email'] 20
## 1168 2018-01-02 71000 76-85ys 5 ['web', 'email'] 20
## 1169 2016-05-02 50000 36-45ys 5 ['web', 'email'] 20
## 1170 2015-09-04 74000 46-55ys 5 ['web', 'email'] 20
## 1171 2015-08-09 85000 46-55ys 5 ['web', 'email'] 20
## 1172 2016-03-03 90000 46-55ys 5 ['web', 'email'] 20
## 1173 2018-06-07 44000 36-45ys 5 ['web', 'email'] 20
## 1174 2017-10-10 77000 36-45ys 5 ['web', 'email'] 20
## 1175 2014-07-17 53000 18-25ys 5 ['web', 'email'] 20
## 1176 2018-06-05 88000 46-55ys 5 ['web', 'email'] 20
## 1177 2017-02-26 82000 66-75ys 5 ['web', 'email'] 20
## 1178 2017-08-25 70000 46-55ys 5 ['web', 'email'] 20
## 1179 2015-12-31 99000 76-85ys 5 ['web', 'email'] 20
## 1180 2016-04-07 63000 66-75ys 5 ['web', 'email'] 20
## 1181 2016-07-20 75000 66-75ys 5 ['web', 'email'] 20
## 1182 2016-04-11 78000 76-85ys 5 ['web', 'email'] 20
## 1183 2018-01-30 67000 46-55ys 5 ['web', 'email'] 20
## 1184 2016-11-17 37000 26-35ys 5 ['web', 'email'] 20
## 1185 2015-10-25 60000 46-55ys 5 ['web', 'email'] 20
## 1186 2017-02-05 87000 36-45ys 5 ['web', 'email'] 20
## 1187 2017-01-12 97000 46-55ys 5 ['web', 'email'] 20
## 1188 2017-06-18 74000 56-65ys 5 ['web', 'email'] 20
## 1189 2017-01-12 97000 46-55ys 5 ['web', 'email'] 20
## 1190 2016-09-11 37000 26-35ys 5 ['web', 'email'] 20
## 1191 2017-11-08 51000 66-75ys 5 ['web', 'email'] 20
## 1192 2017-08-18 41000 36-45ys 5 ['web', 'email'] 20
## 1193 2017-10-23 47000 66-75ys 5 ['web', 'email'] 20
## 1194 2018-06-06 76000 46-55ys 5 ['web', 'email'] 20
## 1195 2018-05-21 54000 36-45ys 5 ['web', 'email'] 20
## 1196 2017-08-11 72000 18-25ys 5 ['web', 'email'] 20
## 1197 2016-05-16 66000 36-45ys 5 ['web', 'email'] 20
## 1198 2017-02-27 72000 56-65ys 5 ['web', 'email'] 20
## 1199 2017-11-28 74000 46-55ys 5 ['web', 'email'] 20
## 1200 2017-11-11 57000 36-45ys 5 ['web', 'email'] 20
## 1201 2016-03-25 68000 66-75ys 5 ['web', 'email'] 20
## 1202 2018-07-04 46000 56-65ys 5 ['web', 'email'] 20
## 1203 2018-03-22 56000 18-25ys 5 ['web', 'email'] 20
## 1204 2015-10-08 40000 66-75ys 5 ['web', 'email'] 20
## 1205 2017-12-10 65000 46-55ys 5 ['web', 'email'] 20
## 1206 2014-04-24 80000 56-65ys 5 ['web', 'email'] 20
## 1207 2015-12-17 57000 56-65ys 5 ['web', 'email'] 20
## 1208 2016-07-12 91000 56-65ys 5 ['web', 'email'] 20
## 1209 2018-06-06 70000 46-55ys 5 ['web', 'email'] 20
## 1210 2018-03-18 52000 56-65ys 5 ['web', 'email'] 20
## 1211 2018-02-01 91000 36-45ys 5 ['web', 'email'] 20
## 1212 2015-09-05 57000 46-55ys 5 ['web', 'email'] 20
## 1213 2016-08-29 60000 36-45ys 5 ['web', 'email'] 20
## 1214 2018-01-07 65000 18-25ys 5 ['web', 'email'] 20
## 1215 2018-07-18 62000 26-35ys 5 ['web', 'email'] 20
## 1216 2015-11-06 79000 46-55ys 5 ['web', 'email'] 20
## 1217 2014-04-15 92000 46-55ys 5 ['web', 'email'] 20
## 1218 2016-09-05 66000 46-55ys 5 ['web', 'email'] 20
## 1219 2018-05-29 88000 > 86ys 5 ['web', 'email'] 20
## 1220 2018-01-24 85000 56-65ys 5 ['web', 'email'] 20
## 1221 2017-01-12 76000 56-65ys 5 ['web', 'email'] 20
## 1222 2016-09-24 39000 66-75ys 5 ['web', 'email'] 20
## 1223 2017-11-19 64000 76-85ys 5 ['web', 'email'] 20
## 1224 2016-12-23 87000 76-85ys 5 ['web', 'email'] 20
## 1225 2017-01-08 86000 66-75ys 5 ['web', 'email'] 20
## 1226 2017-02-23 58000 56-65ys 5 ['web', 'email'] 20
## 1227 2018-04-24 35000 26-35ys 5 ['web', 'email'] 20
## 1228 2016-11-28 38000 66-75ys 5 ['web', 'email'] 20
## 1229 2016-09-14 117000 56-65ys 5 ['web', 'email'] 20
## 1230 2018-03-17 55000 18-25ys 5 ['web', 'email'] 20
## 1231 2018-04-14 61000 66-75ys 5 ['web', 'email'] 20
## 1232 2018-01-07 91000 46-55ys 5 ['web', 'email'] 20
## 1233 2017-02-04 82000 46-55ys 5 ['web', 'email'] 20
## 1234 2015-11-21 81000 46-55ys 5 ['web', 'email'] 20
## 1235 2015-12-23 64000 46-55ys 5 ['web', 'email'] 20
## 1236 2017-08-15 86000 56-65ys 5 ['web', 'email'] 20
## 1237 2015-08-24 83000 66-75ys 5 ['web', 'email'] 20
## 1238 2016-04-12 114000 76-85ys 5 ['web', 'email'] 20
## 1239 2015-04-23 34000 66-75ys 5 ['web', 'email'] 20
## 1240 2017-10-01 73000 46-55ys 5 ['web', 'email'] 20
## 1241 2015-09-03 84000 56-65ys 5 ['web', 'email'] 20
## 1242 2016-02-11 71000 56-65ys 5 ['web', 'email'] 20
## 1243 2017-08-31 59000 26-35ys 5 ['web', 'email'] 20
## 1244 2017-03-11 82000 46-55ys 5 ['web', 'email'] 20
## 1245 2017-02-26 72000 66-75ys 5 ['web', 'email'] 20
## 1246 2016-08-11 90000 56-65ys 5 ['web', 'email'] 20
## 1247 2016-08-19 96000 56-65ys 5 ['web', 'email'] 20
## 1248 2017-11-16 71000 36-45ys 5 ['web', 'email'] 20
## 1249 2016-05-26 80000 66-75ys 5 ['web', 'email'] 20
## 1250 2015-09-07 84000 66-75ys 5 ['web', 'email'] 20
## 1251 2016-08-20 52000 66-75ys 5 ['web', 'email'] 20
## 1252 2018-06-30 36000 46-55ys 5 ['web', 'email'] 20
## 1253 2013-10-03 36000 56-65ys 5 ['web', 'email'] 20
## 1254 2016-06-04 81000 76-85ys 5 ['web', 'email'] 20
## 1255 2017-03-11 82000 46-55ys 5 ['web', 'email'] 20
## 1256 2018-07-08 51000 46-55ys 5 ['web', 'email'] 20
## 1257 2016-03-06 54000 66-75ys 5 ['web', 'email'] 20
## 1258 2018-06-27 62000 46-55ys 5 ['web', 'email'] 20
## 1259 2017-06-22 82000 66-75ys 5 ['web', 'email'] 20
## 1260 2018-01-12 99000 66-75ys 5 ['web', 'email'] 20
## 1261 2016-10-31 72000 56-65ys 5 ['web', 'email'] 20
## 1262 2016-10-22 85000 > 86ys 5 ['web', 'email'] 20
## 1263 2018-01-12 99000 66-75ys 5 ['web', 'email'] 20
## 1264 2016-06-09 74000 > 86ys 5 ['web', 'email'] 20
## 1265 2016-02-10 45000 36-45ys 5 ['web', 'email'] 20
## 1266 2015-09-23 76000 46-55ys 5 ['web', 'email'] 20
## 1267 2017-10-14 74000 76-85ys 5 ['web', 'email'] 20
## 1268 2017-11-07 106000 66-75ys 5 ['web', 'email'] 20
## 1269 2016-09-29 81000 56-65ys 5 ['web', 'email'] 20
## 1270 2018-07-26 33000 26-35ys 5 ['web', 'email'] 20
## 1271 2018-01-13 42000 36-45ys 5 ['web', 'email'] 20
## 1272 2017-09-30 64000 56-65ys 5 ['web', 'email'] 20
## 1273 2017-07-04 64000 66-75ys 5 ['web', 'email'] 20
## 1274 2016-06-27 90000 > 86ys 5 ['web', 'email'] 20
## 1275 2015-08-29 86000 > 86ys 5 ['web', 'email'] 20
## 1276 2017-09-09 96000 36-45ys 5 ['web', 'email'] 20
## 1277 2017-09-09 96000 36-45ys 5 ['web', 'email'] 20
## 1278 2018-03-27 74000 56-65ys 5 ['web', 'email'] 20
## 1279 2018-07-26 32000 76-85ys 5 ['web', 'email'] 20
## 1280 2018-06-28 67000 18-25ys 5 ['web', 'email'] 20
## 1281 2016-11-02 60000 26-35ys 5 ['web', 'email'] 20
## 1282 2017-11-25 71000 66-75ys 5 ['web', 'email'] 20
## 1283 2017-09-12 81000 56-65ys 5 ['web', 'email'] 20
## 1284 2017-11-08 70000 46-55ys 5 ['web', 'email'] 20
## 1285 2014-11-30 77000 > 86ys 5 ['web', 'email'] 20
## 1286 2018-01-17 31000 36-45ys 5 ['web', 'email'] 20
## 1287 2016-05-24 74000 56-65ys 5 ['web', 'email'] 20
## 1288 2018-04-23 47000 36-45ys 5 ['web', 'email'] 20
## 1289 2015-07-30 87000 46-55ys 5 ['web', 'email'] 20
## 1290 2018-04-13 58000 46-55ys 5 ['web', 'email'] 20
## 1291 2017-11-01 87000 66-75ys 5 ['web', 'email'] 20
## 1292 2018-03-09 33000 36-45ys 5 ['web', 'email'] 20
## 1293 2016-12-05 46000 36-45ys 5 ['web', 'email'] 20
## 1294 2013-12-12 53000 46-55ys 5 ['web', 'email'] 20
## 1295 2018-05-19 74000 36-45ys 5 ['web', 'email'] 20
## 1296 2017-02-02 92000 76-85ys 5 ['web', 'email'] 20
## 1297 2015-10-31 81000 56-65ys 5 ['web', 'email'] 20
## 1298 2018-02-26 35000 66-75ys 5 ['web', 'email'] 20
## 1299 2017-07-02 90000 46-55ys 5 ['web', 'email'] 20
## 1300 2018-04-10 57000 56-65ys 5 ['web', 'email'] 20
## 1301 2015-12-20 93000 56-65ys 5 ['web', 'email'] 20
## 1302 2016-11-02 70000 56-65ys 5 ['web', 'email'] 20
## 1303 2015-08-15 61000 18-25ys 5 ['web', 'email'] 20
## 1304 2017-09-11 43000 66-75ys 5 ['web', 'email'] 20
## 1305 2016-03-21 76000 > 86ys 5 ['web', 'email'] 20
## 1306 2015-08-03 45000 46-55ys 5 ['web', 'email'] 20
## 1307 2018-03-29 55000 18-25ys 5 ['web', 'email'] 20
## 1308 2017-11-27 42000 66-75ys 5 ['web', 'email'] 20
## 1309 2017-09-11 83000 56-65ys 5 ['web', 'email'] 20
## 1310 2017-01-02 84000 66-75ys 5 ['web', 'email'] 20
## 1311 2015-01-01 74000 46-55ys 5 ['web', 'email'] 20
## 1312 2016-06-18 117000 > 86ys 5 ['web', 'email'] 20
## 1313 2017-11-29 52000 46-55ys 5 ['web', 'email'] 20
## 1314 2015-09-21 112000 46-55ys 5 ['web', 'email'] 20
## 1315 2017-06-26 72000 26-35ys 5 ['web', 'email'] 20
## 1316 2017-06-30 79000 66-75ys 5 ['web', 'email'] 20
## 1317 2018-06-04 61000 46-55ys 5 ['web', 'email'] 20
## 1318 2014-05-01 42000 18-25ys 5 ['web', 'email'] 20
## 1319 2017-08-31 50000 18-25ys 5 ['web', 'email'] 20
## 1320 2017-09-21 46000 18-25ys 5 ['web', 'email'] 20
## 1321 2016-08-28 62000 66-75ys 5 ['web', 'email'] 20
## 1322 2018-01-03 80000 66-75ys 5 ['web', 'email'] 20
## 1323 2017-09-21 74000 18-25ys 5 ['web', 'email'] 20
## 1324 2017-09-14 73000 56-65ys 5 ['web', 'email'] 20
## 1325 2017-11-02 89000 36-45ys 5 ['web', 'email'] 20
## 1326 2016-02-26 65000 66-75ys 5 ['web', 'email'] 20
## 1327 2017-12-06 63000 46-55ys 5 ['web', 'email'] 20
## 1328 2017-06-14 69000 46-55ys 5 ['web', 'email'] 20
## 1329 2017-04-24 82000 36-45ys 5 ['web', 'email'] 20
## 1330 2017-12-08 74000 66-75ys 5 ['web', 'email'] 20
## 1331 2018-02-15 51000 46-55ys 5 ['web', 'email'] 20
## 1332 2017-12-25 50000 26-35ys 5 ['web', 'email'] 20
## 1333 2017-11-08 77000 56-65ys 5 ['web', 'email'] 20
## 1334 2017-06-24 73000 56-65ys 5 ['web', 'email'] 20
## 1335 2018-03-12 69000 36-45ys 5 ['web', 'email'] 20
## 1336 2018-04-29 53000 26-35ys 5 ['web', 'email'] 20
## 1337 2016-06-17 63000 36-45ys 5 ['web', 'email'] 20
## 1338 2018-05-22 49000 46-55ys 5 ['web', 'email'] 20
## 1339 2014-05-27 51000 36-45ys 5 ['web', 'email'] 20
## 1340 2018-05-30 79000 36-45ys 5 ['web', 'email'] 20
## 1341 2017-10-25 55000 46-55ys 5 ['web', 'email'] 20
## 1342 2018-07-04 39000 36-45ys 5 ['web', 'email'] 20
## 1343 2017-01-10 55000 46-55ys 5 ['web', 'email'] 20
## 1344 2016-03-23 60000 46-55ys 5 ['web', 'email'] 20
## 1345 2017-08-07 73000 56-65ys 5 ['web', 'email'] 20
## 1346 2013-10-26 73000 46-55ys 5 ['web', 'email'] 20
## 1347 2013-10-26 73000 46-55ys 5 ['web', 'email'] 20
## 1348 2017-07-07 89000 > 86ys 5 ['web', 'email'] 20
## 1349 2017-01-10 55000 46-55ys 5 ['web', 'email'] 20
## 1350 2018-03-03 100000 46-55ys 5 ['web', 'email'] 20
## 1351 2015-09-02 48000 56-65ys 5 ['web', 'email'] 20
## 1352 2017-07-08 42000 76-85ys 5 ['web', 'email'] 20
## 1353 2016-06-21 35000 18-25ys 5 ['web', 'email'] 20
## 1354 2015-12-30 83000 46-55ys 5 ['web', 'email'] 20
## 1355 2015-12-29 57000 56-65ys 5 ['web', 'email'] 20
## 1356 2018-03-19 78000 66-75ys 5 ['web', 'email'] 20
## 1357 2018-05-02 50000 76-85ys 5 ['web', 'email'] 20
## 1358 2016-02-19 80000 76-85ys 5 ['web', 'email'] 20
## 1359 2018-05-16 84000 36-45ys 5 ['web', 'email'] 20
## 1360 2018-04-24 35000 26-35ys 5 ['web', 'email'] 20
## 1361 2017-09-15 48000 26-35ys 5 ['web', 'email'] 20
## 1362 2016-10-21 97000 36-45ys 5 ['web', 'email'] 20
## 1363 2018-07-13 57000 66-75ys 5 ['web', 'email'] 20
## 1364 2015-03-08 54000 66-75ys 5 ['web', 'email'] 20
## 1365 2015-12-28 101000 76-85ys 5 ['web', 'email'] 20
## 1366 2016-01-23 115000 56-65ys 5 ['web', 'email'] 20
## 1367 2018-01-25 77000 76-85ys 5 ['web', 'email'] 20
## 1368 2016-04-19 60000 46-55ys 5 ['web', 'email'] 20
## 1369 2017-11-26 50000 66-75ys 5 ['web', 'email'] 20
## 1370 2016-03-16 79000 56-65ys 5 ['web', 'email'] 20
## 1371 2016-09-24 55000 66-75ys 5 ['web', 'email'] 20
## 1372 2017-05-28 98000 66-75ys 5 ['web', 'email'] 20
## 1373 2017-12-13 71000 56-65ys 5 ['web', 'email'] 20
## 1374 2017-04-05 71000 46-55ys 5 ['web', 'email'] 20
## 1375 2015-10-30 70000 56-65ys 5 ['web', 'email'] 20
## 1376 2017-08-23 73000 26-35ys 5 ['web', 'email'] 20
## 1377 2017-10-09 65000 56-65ys 5 ['web', 'email'] 20
## 1378 2015-12-29 38000 18-25ys 5 ['web', 'email'] 20
## 1379 2016-01-24 40000 76-85ys 5 ['web', 'email'] 20
## 1380 2016-03-16 79000 56-65ys 5 ['web', 'email'] 20
## 1381 2015-09-13 58000 36-45ys 5 ['web', 'email'] 20
## 1382 2015-11-21 64000 36-45ys 5 ['web', 'email'] 20
## 1383 2017-08-12 62000 56-65ys 5 ['web', 'email'] 20
## 1384 2017-12-13 111000 56-65ys 5 ['web', 'email'] 20
## 1385 2017-11-23 103000 76-85ys 5 ['web', 'email'] 20
## 1386 2016-12-22 72000 46-55ys 5 ['web', 'email'] 20
## 1387 2017-08-06 81000 36-45ys 5 ['web', 'email'] 20
## 1388 2015-10-20 101000 66-75ys 5 ['web', 'email'] 20
## 1389 2017-11-13 52000 56-65ys 5 ['web', 'email'] 20
## 1390 2017-02-02 57000 46-55ys 5 ['web', 'email'] 20
## 1391 2018-04-23 54000 18-25ys 5 ['web', 'email'] 20
## 1392 2016-07-13 83000 56-65ys 5 ['web', 'email'] 20
## 1393 2017-04-08 35000 56-65ys 5 ['web', 'email'] 20
## 1394 2018-03-13 42000 56-65ys 5 ['web', 'email'] 20
## 1395 2017-09-14 73000 > 86ys 5 ['web', 'email'] 20
## 1396 2017-02-02 57000 46-55ys 5 ['web', 'email'] 20
## 1397 2016-10-01 61000 56-65ys 5 ['web', 'email'] 20
## 1398 2018-01-18 85000 46-55ys 5 ['web', 'email'] 20
## 1399 2018-01-24 31000 36-45ys 5 ['web', 'email'] 20
## 1400 2016-05-24 71000 36-45ys 5 ['web', 'email'] 20
## 1401 2017-06-26 52000 46-55ys 5 ['web', 'email'] 20
## 1402 2015-12-10 82000 56-65ys 5 ['web', 'email'] 20
## 1403 2016-05-29 42000 56-65ys 5 ['web', 'email'] 20
## 1404 2017-04-05 95000 66-75ys 5 ['web', 'email'] 20
## 1405 2017-01-21 117000 46-55ys 5 ['web', 'email'] 20
## 1406 2018-05-01 63000 > 86ys 5 ['web', 'email'] 20
## 1407 2017-08-21 31000 26-35ys 5 ['web', 'email'] 20
## 1408 2017-01-26 73000 46-55ys 5 ['web', 'email'] 20
## 1409 2018-05-19 74000 36-45ys 5 ['web', 'email'] 20
## 1410 2014-03-12 68000 46-55ys 5 ['web', 'email'] 20
## 1411 2016-02-10 36000 66-75ys 5 ['web', 'email'] 20
## 1412 2018-02-20 52000 18-25ys 5 ['web', 'email'] 20
## 1413 2018-06-05 88000 46-55ys 5 ['web', 'email'] 20
## 1414 2017-10-31 87000 > 86ys 5 ['web', 'email'] 20
## 1415 2018-06-05 88000 46-55ys 5 ['web', 'email'] 20
## 1416 2016-05-11 55000 46-55ys 5 ['web', 'email'] 20
## 1417 2017-07-02 56000 46-55ys 5 ['web', 'email'] 20
## 1418 2016-07-29 93000 56-65ys 5 ['web', 'email'] 20
## 1419 2016-03-16 72000 76-85ys 5 ['web', 'email'] 20
## 1420 2017-09-14 97000 56-65ys 5 ['web', 'email'] 20
## 1421 2018-06-08 48000 36-45ys 5 ['web', 'email'] 20
## 1422 2016-07-02 73000 56-65ys 5 ['web', 'email'] 20
## 1423 2017-12-14 36000 26-35ys 5 ['web', 'email'] 20
## 1424 2018-02-16 83000 56-65ys 5 ['web', 'email'] 20
## 1425 2017-11-27 58000 26-35ys 5 ['web', 'email'] 20
## 1426 2016-10-06 56000 46-55ys 5 ['web', 'email'] 20
## 1427 2015-08-26 70000 46-55ys 5 ['web', 'email'] 20
## 1428 2016-03-06 68000 46-55ys 5 ['web', 'email'] 20
## 1429 2015-04-20 74000 26-35ys 5 ['web', 'email'] 20
## 1430 2018-01-30 67000 46-55ys 5 ['web', 'email'] 20
## 1431 2015-08-08 63000 56-65ys 5 ['web', 'email'] 20
## 1432 2016-12-14 90000 66-75ys 5 ['web', 'email'] 20
## 1433 2017-12-28 76000 36-45ys 5 ['web', 'email'] 20
## 1434 2017-11-01 42000 46-55ys 5 ['web', 'email'] 20
## 1435 2018-06-04 58000 56-65ys 5 ['web', 'email'] 20
## 1436 2016-04-20 67000 56-65ys 5 ['web', 'email'] 20
## 1437 2017-09-08 64000 66-75ys 5 ['web', 'email'] 20
## 1438 2018-05-08 51000 18-25ys 5 ['web', 'email'] 20
## 1439 2015-10-30 74000 66-75ys 5 ['web', 'email'] 20
## 1440 2016-01-19 113000 56-65ys 5 ['web', 'email'] 20
## 1441 2017-10-26 42000 56-65ys 5 ['web', 'email'] 20
## 1442 2018-01-13 59000 46-55ys 5 ['web', 'email'] 20
## 1443 2018-01-02 72000 26-35ys 5 ['web', 'email'] 20
## 1444 2018-02-26 58000 56-65ys 5 ['web', 'email'] 20
## 1445 2016-05-29 55000 46-55ys 5 ['web', 'email'] 20
## 1446 2017-09-20 58000 46-55ys 5 ['web', 'email'] 20
## 1447 2015-11-21 41000 46-55ys 5 ['web', 'email'] 20
## 1448 2016-03-25 88000 46-55ys 5 ['web', 'email'] 20
## 1449 2016-05-04 71000 36-45ys 5 ['web', 'email'] 20
## 1450 2017-11-04 91000 66-75ys 5 ['web', 'email'] 20
## 1451 2016-01-15 97000 46-55ys 5 ['web', 'email'] 20
## 1452 2016-04-02 77000 46-55ys 5 ['web', 'email'] 20
## 1453 2017-11-04 91000 66-75ys 5 ['web', 'email'] 20
## 1454 2016-06-20 58000 66-75ys 5 ['web', 'email'] 20
## 1455 2016-02-07 84000 66-75ys 5 ['web', 'email'] 20
## 1456 2018-03-16 80000 56-65ys 5 ['web', 'email'] 20
## 1457 2013-10-03 36000 18-25ys 5 ['web', 'email'] 20
## 1458 2018-04-27 74000 46-55ys 5 ['web', 'email'] 20
## 1459 2017-10-10 70000 56-65ys 5 ['web', 'email'] 20
## 1460 2017-08-04 52000 66-75ys 5 ['web', 'email'] 20
## 1461 2018-03-27 99000 56-65ys 5 ['web', 'email'] 20
## 1462 2014-10-04 50000 36-45ys 5 ['web', 'email'] 20
## 1463 2014-01-08 60000 76-85ys 5 ['web', 'email'] 20
## 1464 2018-02-22 74000 46-55ys 5 ['web', 'email'] 20
## 1465 2016-12-17 31000 36-45ys 5 ['web', 'email'] 20
## 1466 2018-01-08 58000 66-75ys 5 ['web', 'email'] 20
## 1467 2017-08-17 63000 46-55ys 5 ['web', 'email'] 20
## 1468 2017-11-21 75000 66-75ys 5 ['web', 'email'] 20
## 1469 2018-02-20 104000 66-75ys 5 ['web', 'email'] 20
## 1470 2017-03-05 68000 56-65ys 5 ['web', 'email'] 20
## 1471 2017-12-18 57000 66-75ys 5 ['web', 'email'] 20
## 1472 2017-08-17 44000 18-25ys 5 ['web', 'email'] 20
## 1473 2017-03-23 43000 46-55ys 5 ['web', 'email'] 20
## 1474 2017-12-14 102000 46-55ys 5 ['web', 'email'] 20
## 1475 2015-12-29 73000 56-65ys 5 ['web', 'email'] 20
## 1476 2016-11-20 82000 56-65ys 5 ['web', 'email'] 20
## 1477 2017-11-29 70000 36-45ys 5 ['web', 'email'] 20
## 1478 2018-04-17 72000 46-55ys 5 ['web', 'email'] 20
## 1479 2017-08-21 79000 66-75ys 5 ['web', 'email'] 20
## 1480 2014-07-20 44000 76-85ys 5 ['web', 'email'] 20
## 1481 2017-07-26 37000 36-45ys 5 ['web', 'email'] 20
## 1482 2017-10-24 32000 56-65ys 5 ['web', 'email'] 20
## 1483 2018-01-11 62000 56-65ys 5 ['web', 'email'] 20
## 1484 2015-10-02 61000 76-85ys 5 ['web', 'email'] 20
## 1485 2018-05-11 70000 26-35ys 5 ['web', 'email'] 20
## 1486 2015-09-20 53000 46-55ys 5 ['web', 'email'] 20
## 1487 2018-05-16 84000 36-45ys 5 ['web', 'email'] 20
## 1488 2017-12-31 66000 66-75ys 5 ['web', 'email'] 20
## 1489 2017-04-04 74000 66-75ys 5 ['web', 'email'] 20
## 1490 2013-08-24 40000 56-65ys 5 ['web', 'email'] 20
## 1491 2017-11-09 55000 36-45ys 5 ['web', 'email'] 20
## 1492 2017-01-12 40000 18-25ys 5 ['web', 'email'] 20
## 1493 2015-08-31 51000 18-25ys 5 ['web', 'email'] 20
## 1494 2015-02-26 59000 18-25ys 5 ['web', 'email'] 20
## 1495 2015-03-08 54000 66-75ys 5 ['web', 'email'] 20
## 1496 2018-06-12 81000 76-85ys 5 ['web', 'email'] 20
## 1497 2016-08-06 90000 56-65ys 5 ['web', 'email'] 20
## 1498 2013-08-06 69000 66-75ys 5 ['web', 'email'] 20
## 1499 2015-06-20 69000 56-65ys 5 ['web', 'email'] 20
## 1500 2018-02-07 67000 76-85ys 5 ['web', 'email'] 20
## 1501 2014-03-04 40000 56-65ys 5 ['web', 'email'] 20
## 1502 2017-12-29 81000 66-75ys 5 ['web', 'email'] 20
## 1503 2016-04-24 30000 26-35ys 5 ['web', 'email'] 20
## 1504 2017-08-10 88000 46-55ys 5 ['web', 'email'] 20
## 1505 2018-06-04 46000 26-35ys 5 ['web', 'email'] 20
## 1506 2017-09-29 99000 56-65ys 5 ['web', 'email'] 20
## 1507 2017-11-09 55000 36-45ys 5 ['web', 'email'] 20
## 1508 2017-09-29 99000 56-65ys 5 ['web', 'email'] 20
## 1509 2018-04-24 73000 46-55ys 5 ['web', 'email'] 20
## 1510 2015-12-29 68000 66-75ys 5 ['web', 'email'] 20
## 1511 2018-01-15 89000 66-75ys 5 ['web', 'email'] 20
## 1512 2016-05-09 78000 56-65ys 5 ['web', 'email'] 20
## 1513 2013-08-13 62000 56-65ys 5 ['web', 'email'] 20
## 1514 2015-12-13 60000 56-65ys 5 ['web', 'email'] 20
## 1515 2015-11-15 62000 46-55ys 5 ['web', 'email'] 20
## 1516 2017-03-21 114000 76-85ys 5 ['web', 'email'] 20
## 1517 2016-07-25 84000 46-55ys 5 ['web', 'email'] 20
## 1518 2018-02-06 47000 26-35ys 5 ['web', 'email'] 20
## 1519 2016-05-19 77000 56-65ys 5 ['web', 'email'] 20
## 1520 2015-08-09 85000 46-55ys 5 ['web', 'email'] 20
## 1521 2016-02-26 64000 46-55ys 5 ['web', 'email'] 20
## 1522 2016-10-28 44000 36-45ys 5 ['web', 'email'] 20
## 1523 2018-07-05 62000 66-75ys 5 ['web', 'email'] 20
## 1524 2017-12-10 57000 56-65ys 5 ['web', 'email'] 20
## 1525 2018-02-07 48000 18-25ys 5 ['web', 'email'] 20
## 1526 2016-02-08 77000 76-85ys 5 ['web', 'email'] 20
## 1527 2018-01-29 70000 56-65ys 5 ['web', 'email'] 20
## 1528 2016-10-24 75000 36-45ys 5 ['web', 'email'] 20
## 1529 2017-11-05 66000 46-55ys 5 ['web', 'email'] 20
## 1530 2017-01-23 59000 56-65ys 5 ['web', 'email'] 20
## 1531 2018-04-05 50000 46-55ys 5 ['web', 'email'] 20
## 1532 2017-10-16 47000 36-45ys 5 ['web', 'email'] 20
## 1533 2017-08-01 41000 26-35ys 5 ['web', 'email'] 20
## 1534 2018-05-03 83000 36-45ys 5 ['web', 'email'] 20
## 1535 2018-05-23 38000 66-75ys 5 ['web', 'email'] 20
## 1536 2015-04-12 32000 76-85ys 5 ['web', 'email'] 20
## 1537 2017-01-31 44000 56-65ys 5 ['web', 'email'] 20
## 1538 2015-12-31 99000 76-85ys 5 ['web', 'email'] 20
## 1539 2015-09-04 74000 46-55ys 5 ['web', 'email'] 20
## 1540 2016-08-27 32000 56-65ys 5 ['web', 'email'] 20
## 1541 2017-08-15 78000 46-55ys 5 ['web', 'email'] 20
## 1542 2016-01-04 53000 46-55ys 5 ['web', 'email'] 20
## 1543 2018-04-24 96000 66-75ys 5 ['web', 'email'] 20
## 1544 2016-07-01 108000 76-85ys 5 ['web', 'email'] 20
## 1545 2017-04-21 51000 46-55ys 5 ['web', 'email'] 20
## 1546 2016-04-30 34000 26-35ys 5 ['web', 'email'] 20
## 1547 2014-05-21 61000 56-65ys 5 ['web', 'email'] 20
## 1548 2017-09-09 51000 36-45ys 5 ['web', 'email'] 20
## 1549 2017-09-07 56000 18-25ys 5 ['web', 'email'] 20
## 1550 2017-02-27 88000 66-75ys 5 ['web', 'email'] 20
## 1551 2018-04-02 35000 46-55ys 5 ['web', 'email'] 20
## 1552 2017-09-19 51000 76-85ys 5 ['web', 'email'] 20
## 1553 2017-09-09 51000 36-45ys 5 ['web', 'email'] 20
## 1554 2018-03-25 59000 36-45ys 5 ['web', 'email'] 20
## 1555 2017-12-28 51000 36-45ys 5 ['web', 'email'] 20
## 1556 2015-04-21 43000 26-35ys 5 ['web', 'email'] 20
## 1557 2018-06-23 52000 18-25ys 5 ['web', 'email'] 20
## 1558 2016-02-05 72000 46-55ys 5 ['web', 'email'] 20
## 1559 2016-12-08 71000 36-45ys 5 ['web', 'email'] 20
## 1560 2017-08-18 79000 46-55ys 5 ['web', 'email'] 20
## 1561 2016-10-17 33000 56-65ys 5 ['web', 'email'] 20
## 1562 2017-12-08 47000 56-65ys 5 ['web', 'email'] 20
## 1563 2017-10-22 92000 66-75ys 5 ['web', 'email'] 20
## 1564 2017-10-09 73000 46-55ys 5 ['web', 'email'] 20
## 1565 2016-11-17 37000 26-35ys 5 ['web', 'email'] 20
## 1566 2016-08-19 81000 46-55ys 5 ['web', 'email'] 20
## 1567 2018-02-20 56000 18-25ys 5 ['web', 'email'] 20
## 1568 2017-12-21 54000 56-65ys 5 ['web', 'email'] 20
## 1569 2018-04-14 64000 56-65ys 5 ['web', 'email'] 20
## 1570 2016-07-28 119000 46-55ys 5 ['web', 'email'] 20
## 1571 2018-03-07 89000 56-65ys 5 ['web', 'email'] 20
## 1572 2017-09-29 116000 46-55ys 5 ['web', 'email'] 20
## 1573 2017-08-23 40000 18-25ys 5 ['web', 'email'] 20
## 1574 2018-02-16 51000 46-55ys 5 ['web', 'email'] 20
## 1575 2018-01-03 80000 66-75ys 5 ['web', 'email'] 20
## 1576 2017-07-09 88000 56-65ys 5 ['web', 'email'] 20
## 1577 2016-02-09 55000 76-85ys 5 ['web', 'email'] 20
## 1578 2016-06-26 103000 46-55ys 5 ['web', 'email'] 20
## 1579 2018-01-19 51000 66-75ys 5 ['web', 'email'] 20
## 1580 2015-12-23 82000 66-75ys 5 ['web', 'email'] 20
## 1581 2017-09-03 51000 66-75ys 5 ['web', 'email'] 20
## 1582 2018-03-07 89000 56-65ys 5 ['web', 'email'] 20
## 1583 2018-02-16 51000 46-55ys 5 ['web', 'email'] 20
## 1584 2017-11-16 30000 56-65ys 5 ['web', 'email'] 20
## 1585 2014-11-08 32000 26-35ys 5 ['web', 'email'] 20
## 1586 2017-12-05 70000 76-85ys 5 ['web', 'email'] 20
## 1587 2017-08-20 89000 56-65ys 5 ['web', 'email'] 20
## 1588 2017-08-30 86000 46-55ys 5 ['web', 'email'] 20
## 1589 2017-08-20 89000 56-65ys 5 ['web', 'email'] 20
## 1590 2018-07-02 47000 36-45ys 5 ['web', 'email'] 20
## 1591 2016-12-23 59000 46-55ys 5 ['web', 'email'] 20
## 1592 2017-10-17 67000 18-25ys 5 ['web', 'email'] 20
## 1593 2017-09-11 59000 36-45ys 5 ['web', 'email'] 20
## 1594 2018-03-22 65000 36-45ys 5 ['web', 'email'] 20
## 1595 2018-05-21 88000 36-45ys 5 ['web', 'email'] 20
## 1596 2016-11-13 36000 66-75ys 5 ['web', 'email'] 20
## 1597 2016-03-31 82000 > 86ys 5 ['web', 'email'] 20
## 1598 2017-08-06 39000 > 86ys 5 ['web', 'email'] 20
## 1599 2017-07-26 37000 36-45ys 5 ['web', 'email'] 20
## 1600 2018-05-05 75000 66-75ys 5 ['web', 'email'] 20
## 1601 2017-08-02 58000 18-25ys 5 ['web', 'email'] 20
## 1602 2018-06-20 58000 36-45ys 5 ['web', 'email'] 20
## 1603 2017-08-25 73000 46-55ys 5 ['web', 'email'] 20
## 1604 2017-01-08 86000 66-75ys 5 ['web', 'email'] 20
## 1605 2016-02-28 87000 46-55ys 5 ['web', 'email'] 20
## 1606 2017-12-08 57000 66-75ys 5 ['web', 'email'] 20
## 1607 2017-09-03 31000 36-45ys 5 ['web', 'email'] 20
## 1608 2018-06-29 36000 56-65ys 5 ['web', 'email'] 20
## 1609 2017-09-20 48000 46-55ys 5 ['web', 'email'] 20
## 1610 2017-01-15 51000 66-75ys 5 ['web', 'email'] 20
## 1611 2016-04-12 114000 76-85ys 5 ['web', 'email'] 20
## 1612 2014-12-13 52000 46-55ys 5 ['web', 'email'] 20
## 1613 2018-05-22 56000 18-25ys 5 ['web', 'email'] 20
## 1614 2018-06-27 34000 56-65ys 5 ['web', 'email'] 20
## 1615 2017-02-19 54000 66-75ys 5 ['web', 'email'] 20
## 1616 2016-08-27 106000 66-75ys 5 ['web', 'email'] 20
## 1617 2017-10-01 73000 46-55ys 5 ['web', 'email'] 20
## 1618 2017-03-20 31000 56-65ys 5 ['web', 'email'] 20
## 1619 2016-08-29 107000 66-75ys 5 ['web', 'email'] 20
## 1620 2017-08-07 72000 56-65ys 5 ['web', 'email'] 20
## 1621 2015-08-31 43000 > 86ys 5 ['web', 'email'] 20
## 1622 2016-08-04 74000 56-65ys 5 ['web', 'email'] 20
## 1623 2016-12-10 52000 46-55ys 5 ['web', 'email'] 20
## 1624 2018-02-20 94000 46-55ys 5 ['web', 'email'] 20
## 1625 2018-05-25 61000 66-75ys 5 ['web', 'email'] 20
## 1626 2017-11-16 67000 56-65ys 5 ['web', 'email'] 20
## 1627 2014-07-14 95000 46-55ys 5 ['web', 'email'] 20
## 1628 2018-01-07 51000 36-45ys 5 ['web', 'email'] 20
## 1629 2015-12-12 85000 66-75ys 5 ['web', 'email'] 20
## 1630 2016-04-20 82000 36-45ys 5 ['web', 'email'] 20
## 1631 2018-05-11 60000 56-65ys 5 ['web', 'email'] 20
## 1632 2016-08-11 81000 > 86ys 5 ['web', 'email'] 20
## 1633 2016-07-25 84000 46-55ys 5 ['web', 'email'] 20
## 1634 2018-07-09 93000 66-75ys 5 ['web', 'email'] 20
## 1635 2016-11-29 52000 18-25ys 5 ['web', 'email'] 20
## 1636 2015-08-04 82000 46-55ys 5 ['web', 'email'] 20
## 1637 2017-12-22 74000 46-55ys 5 ['web', 'email'] 20
## 1638 2017-12-21 82000 76-85ys 5 ['web', 'email'] 20
## 1639 2015-08-26 93000 46-55ys 5 ['web', 'email'] 20
## 1640 2016-03-12 52000 18-25ys 5 ['web', 'email'] 20
## 1641 2015-10-15 75000 26-35ys 5 ['web', 'email'] 20
## 1642 2017-06-06 45000 18-25ys 5 ['web', 'email'] 20
## 1643 2018-03-28 99000 56-65ys 5 ['web', 'email'] 20
## 1644 2016-01-03 104000 56-65ys 5 ['web', 'email'] 20
## 1645 2016-05-19 77000 56-65ys 5 ['web', 'email'] 20
## 1646 2016-11-23 60000 46-55ys 5 ['web', 'email'] 20
## 1647 2015-09-27 87000 56-65ys 5 ['web', 'email'] 20
## 1648 2015-09-02 90000 56-65ys 5 ['web', 'email'] 20
## 1649 2016-09-05 36000 36-45ys 5 ['web', 'email'] 20
## 1650 2018-01-27 43000 26-35ys 5 ['web', 'email'] 20
## 1651 2016-04-16 116000 76-85ys 5 ['web', 'email'] 20
## 1652 2017-09-17 34000 26-35ys 5 ['web', 'email'] 20
## 1653 2017-08-21 49000 56-65ys 5 ['web', 'email'] 20
## 1654 2017-10-10 41000 46-55ys 5 ['web', 'email'] 20
## 1655 2018-05-07 89000 76-85ys 5 ['web', 'email'] 20
## 1656 2016-12-05 98000 56-65ys 5 ['web', 'email'] 20
## 1657 2017-12-26 70000 18-25ys 5 ['web', 'email'] 20
## 1658 2017-03-07 105000 56-65ys 5 ['web', 'email'] 20
## 1659 2017-06-30 94000 36-45ys 5 ['web', 'email'] 20
## 1660 2016-01-03 90000 56-65ys 5 ['web', 'email'] 20
## 1661 2016-10-06 56000 46-55ys 5 ['web', 'email'] 20
## 1662 2017-09-21 40000 56-65ys 5 ['web', 'email'] 20
## 1663 2016-02-11 111000 56-65ys 5 ['web', 'email'] 20
## 1664 2018-05-14 114000 46-55ys 5 ['web', 'email'] 20
## 1665 2017-07-03 35000 26-35ys 5 ['web', 'email'] 20
## 1666 2014-10-27 66000 36-45ys 5 ['web', 'email'] 20
## 1667 2015-09-02 54000 36-45ys 5 ['web', 'email'] 20
## 1668 2017-02-24 58000 26-35ys 5 ['web', 'email'] 20
## 1669 2017-02-01 91000 66-75ys 5 ['web', 'email'] 20
## 1670 2016-09-10 43000 56-65ys 5 ['web', 'email'] 20
## 1671 2016-07-11 41000 18-25ys 5 ['web', 'email'] 20
## 1672 2018-02-08 90000 66-75ys 5 ['web', 'email'] 20
## 1673 2013-12-01 39000 46-55ys 5 ['web', 'email'] 20
## 1674 2018-02-08 90000 66-75ys 5 ['web', 'email'] 20
## 1675 2015-11-21 55000 46-55ys 5 ['web', 'email'] 20
## 1676 2017-05-30 53000 36-45ys 5 ['web', 'email'] 20
## 1677 2017-12-07 94000 76-85ys 5 ['web', 'email'] 20
## 1678 2017-07-23 40000 56-65ys 5 ['web', 'email'] 20
## 1679 2015-11-03 53000 18-25ys 5 ['web', 'email'] 20
## 1680 2017-09-21 46000 18-25ys 5 ['web', 'email'] 20
## 1681 2015-07-29 58000 36-45ys 5 ['web', 'email'] 20
## 1682 2018-07-05 68000 46-55ys 5 ['web', 'email'] 20
## 1683 2016-05-18 60000 > 86ys 5 ['web', 'email'] 20
## 1684 2017-10-09 73000 46-55ys 5 ['web', 'email'] 20
## 1685 2017-09-12 77000 56-65ys 5 ['web', 'email'] 20
## 1686 2016-11-15 57000 46-55ys 5 ['web', 'email'] 20
## 1687 2018-07-24 85000 56-65ys 5 ['web', 'email'] 20
## 1688 2016-02-12 34000 56-65ys 5 ['web', 'email'] 20
## 1689 2018-03-21 86000 > 86ys 5 ['web', 'email'] 20
## 1690 2017-11-01 100000 36-45ys 5 ['web', 'email'] 20
## 1691 2017-08-03 74000 36-45ys 5 ['web', 'email'] 20
## 1692 2017-12-20 49000 46-55ys 5 ['web', 'email'] 20
## 1693 2017-11-01 100000 36-45ys 5 ['web', 'email'] 20
## 1694 2016-07-08 79000 56-65ys 5 ['web', 'email'] 20
## 1695 2017-10-20 83000 66-75ys 5 ['web', 'email'] 20
## 1696 2016-06-03 34000 36-45ys 5 ['web', 'email'] 20
## 1697 2013-09-30 35000 36-45ys 5 ['web', 'email'] 20
## 1698 2017-12-29 53000 36-45ys 5 ['web', 'email'] 20
## 1699 2014-10-19 53000 18-25ys 5 ['web', 'email'] 20
## 1700 2017-07-24 47000 26-35ys 5 ['web', 'email'] 20
## 1701 2016-05-15 56000 56-65ys 5 ['web', 'email'] 20
## 1702 2014-02-08 53000 26-35ys 5 ['web', 'email'] 20
## 1703 2018-05-13 45000 36-45ys 5 ['web', 'email'] 20
## 1704 2017-09-22 81000 > 86ys 5 ['web', 'email'] 20
## 1705 2017-09-29 37000 36-45ys 5 ['web', 'email'] 20
## 1706 2016-09-09 81000 > 86ys 5 ['web', 'email'] 20
## 1707 2015-12-24 36000 36-45ys 5 ['web', 'email'] 20
## 1708 2014-10-07 54000 56-65ys 5 ['web', 'email'] 20
## 1709 2015-12-26 63000 46-55ys 5 ['web', 'email'] 20
## 1710 2016-02-29 57000 76-85ys 5 ['web', 'email'] 20
## 1711 2017-11-04 62000 46-55ys 5 ['web', 'email'] 20
## 1712 2015-11-09 52000 46-55ys 5 ['web', 'email'] 20
## 1713 2017-10-13 88000 56-65ys 5 ['web', 'email'] 20
## 1714 2016-11-17 39000 56-65ys 5 ['web', 'email'] 20
## 1715 2018-01-05 45000 56-65ys 5 ['web', 'email'] 20
## 1716 2018-03-04 43000 18-25ys 5 ['web', 'email'] 20
## 1717 2015-12-19 69000 56-65ys 5 ['web', 'email'] 20
## 1718 2018-03-20 47000 66-75ys 5 ['web', 'email'] 20
## 1719 2017-10-25 89000 36-45ys 5 ['web', 'email'] 20
## 1720 2016-04-10 52000 36-45ys 5 ['web', 'email'] 20
## 1721 2015-11-17 75000 76-85ys 5 ['web', 'email'] 20
## 1722 2017-09-08 68000 56-65ys 5 ['web', 'email'] 20
## 1723 2017-11-18 42000 56-65ys 5 ['web', 'email'] 20
## 1724 2016-05-28 96000 > 86ys 5 ['web', 'email'] 20
## 1725 2017-11-06 32000 36-45ys 5 ['web', 'email'] 20
## 1726 2018-07-19 68000 56-65ys 5 ['web', 'email'] 20
## 1727 2018-03-13 38000 26-35ys 5 ['web', 'email'] 20
## 1728 2017-04-26 61000 76-85ys 5 ['web', 'email'] 20
## 1729 2017-10-18 73000 56-65ys 5 ['web', 'email'] 20
## 1730 2017-10-23 54000 76-85ys 5 ['web', 'email'] 20
## 1731 2018-06-30 53000 66-75ys 5 ['web', 'email'] 20
## 1732 2015-04-05 36000 46-55ys 5 ['web', 'email'] 20
## 1733 2016-06-24 43000 46-55ys 5 ['web', 'email'] 20
## 1734 2016-02-17 84000 46-55ys 5 ['web', 'email'] 20
## 1735 2016-06-24 43000 46-55ys 5 ['web', 'email'] 20
## 1736 2016-11-06 66000 46-55ys 5 ['web', 'email'] 20
## 1737 2018-05-26 93000 46-55ys 5 ['web', 'email'] 20
## 1738 2016-05-31 91000 46-55ys 5 ['web', 'email'] 20
## 1739 2017-09-19 68000 46-55ys 5 ['web', 'email'] 20
## 1740 2018-05-01 65000 26-35ys 5 ['web', 'email'] 20
## 1741 2016-03-31 92000 > 86ys 5 ['web', 'email'] 20
## 1742 2018-03-11 33000 18-25ys 5 ['web', 'email'] 20
## 1743 2016-03-31 92000 > 86ys 5 ['web', 'email'] 20
## 1744 2016-03-02 99000 66-75ys 5 ['web', 'email'] 20
## 1745 2018-04-17 34000 56-65ys 5 ['web', 'email'] 20
## 1746 2018-01-25 85000 56-65ys 5 ['web', 'email'] 20
## 1747 2016-05-29 97000 76-85ys 5 ['web', 'email'] 20
## 1748 2017-01-22 49000 46-55ys 5 ['web', 'email'] 20
## 1749 2015-09-13 78000 46-55ys 5 ['web', 'email'] 20
## 1750 2014-09-24 68000 18-25ys 5 ['web', 'email'] 20
## 1751 2018-04-06 68000 46-55ys 5 ['web', 'email'] 20
## 1752 2017-08-19 115000 76-85ys 5 ['web', 'email'] 20
## 1753 2016-03-28 97000 46-55ys 5 ['web', 'email'] 20
## 1754 2015-05-27 67000 56-65ys 5 ['web', 'email'] 20
## 1755 2015-02-11 82000 46-55ys 5 ['web', 'email'] 20
## 1756 2016-02-19 55000 > 86ys 5 ['web', 'email'] 20
## 1757 2016-04-28 67000 76-85ys 5 ['web', 'email'] 20
## 1758 2018-04-19 70000 56-65ys 5 ['web', 'email'] 20
## 1759 2014-04-02 68000 26-35ys 5 ['web', 'email'] 20
## 1760 2016-06-03 55000 46-55ys 5 ['web', 'email'] 20
## 1761 2018-04-03 48000 56-65ys 5 ['web', 'email'] 20
## 1762 2017-09-12 71000 56-65ys 5 ['web', 'email'] 20
## 1763 2015-11-16 64000 56-65ys 5 ['web', 'email'] 20
## 1764 2018-01-08 38000 26-35ys 5 ['web', 'email'] 20
## 1765 2018-05-17 75000 36-45ys 5 ['web', 'email'] 20
## 1766 2015-10-26 56000 36-45ys 5 ['web', 'email'] 20
## 1767 2017-02-23 103000 66-75ys 5 ['web', 'email'] 20
## 1768 2017-08-06 38000 76-85ys 5 ['web', 'email'] 20
## 1769 2016-03-28 97000 46-55ys 5 ['web', 'email'] 20
## 1770 2017-07-28 65000 26-35ys 5 ['web', 'email'] 20
## 1771 2018-07-11 38000 66-75ys 5 ['web', 'email'] 20
## 1772 2015-08-06 55000 36-45ys 5 ['web', 'email'] 20
## 1773 2016-05-23 93000 46-55ys 5 ['web', 'email'] 20
## 1774 2017-09-20 87000 66-75ys 5 ['web', 'email'] 20
## 1775 2017-09-20 87000 66-75ys 5 ['web', 'email'] 20
## 1776 2017-09-20 87000 66-75ys 5 ['web', 'email'] 20
## 1777 2016-04-18 68000 36-45ys 5 ['web', 'email'] 20
## 1778 2017-09-22 84000 56-65ys 5 ['web', 'email'] 20
## 1779 2017-10-13 58000 36-45ys 5 ['web', 'email'] 20
## 1780 2018-06-05 88000 46-55ys 5 ['web', 'email'] 20
## 1781 2017-11-15 74000 66-75ys 5 ['web', 'email'] 20
## 1782 2016-03-11 99000 46-55ys 5 ['web', 'email'] 20
## 1783 2016-09-28 102000 76-85ys 5 ['web', 'email'] 20
## 1784 2018-05-24 71000 36-45ys 5 ['web', 'email'] 20
## 1785 2014-04-06 53000 56-65ys 5 ['web', 'email'] 20
## 1786 2015-08-22 66000 46-55ys 5 ['web', 'email'] 20
## 1787 2017-04-01 97000 46-55ys 5 ['web', 'email'] 20
## 1788 2018-01-31 53000 76-85ys 5 ['web', 'email'] 20
## 1789 2017-08-15 86000 66-75ys 5 ['web', 'email'] 20
## 1790 2015-01-25 82000 46-55ys 5 ['web', 'email'] 20
## 1791 2016-05-02 50000 36-45ys 5 ['web', 'email'] 20
## 1792 2016-03-21 73000 36-45ys 5 ['web', 'email'] 20
## 1793 2018-02-07 36000 66-75ys 5 ['web', 'email'] 20
## 1794 2016-03-24 37000 46-55ys 5 ['web', 'email'] 20
## 1795 2017-04-05 77000 46-55ys 5 ['web', 'email'] 20
## 1796 2017-09-15 69000 18-25ys 5 ['web', 'email'] 20
## 1797 2016-03-25 50000 18-25ys 5 ['web', 'email'] 20
## 1798 2016-08-02 84000 56-65ys 5 ['web', 'email'] 20
## 1799 2017-04-05 77000 46-55ys 5 ['web', 'email'] 20
## 1800 2017-04-05 77000 46-55ys 5 ['web', 'email'] 20
## 1801 2014-11-20 63000 46-55ys 5 ['web', 'email'] 20
## 1802 2018-04-11 44000 36-45ys 5 ['web', 'email'] 20
## 1803 2017-08-03 105000 66-75ys 5 ['web', 'email'] 20
## 1804 2015-10-04 94000 46-55ys 5 ['web', 'email'] 20
## 1805 2017-02-03 58000 36-45ys 5 ['web', 'email'] 20
## 1806 2016-06-26 103000 46-55ys 5 ['web', 'email'] 20
## 1807 2015-12-13 67000 46-55ys 5 ['web', 'email'] 20
## 1808 2016-11-30 41000 46-55ys 5 ['web', 'email'] 20
## 1809 2016-06-28 42000 26-35ys 5 ['web', 'email'] 20
## 1810 2018-04-26 88000 56-65ys 5 ['web', 'email'] 20
## 1811 2016-06-14 98000 36-45ys 5 ['web', 'email'] 20
## 1812 2016-03-29 89000 56-65ys 5 ['web', 'email'] 20
## 1813 2017-02-15 30000 36-45ys 5 ['web', 'email'] 20
## 1814 2017-12-13 35000 18-25ys 5 ['web', 'email'] 20
## 1815 2015-12-05 31000 56-65ys 5 ['web', 'email'] 20
## 1816 2015-11-07 106000 46-55ys 5 ['web', 'email'] 20
## 1817 2017-07-12 44000 56-65ys 5 ['web', 'email'] 20
## 1818 2015-08-15 50000 26-35ys 5 ['web', 'email'] 20
## 1819 2017-02-14 44000 26-35ys 5 ['web', 'email'] 20
## 1820 2018-04-25 93000 36-45ys 5 ['web', 'email'] 20
## 1821 2017-09-10 40000 56-65ys 5 ['web', 'email'] 20
## 1822 2018-07-01 41000 66-75ys 5 ['web', 'email'] 20
## 1823 2015-08-15 50000 26-35ys 5 ['web', 'email'] 20
## 1824 2014-08-11 44000 66-75ys 5 ['web', 'email'] 20
## 1825 2016-12-24 67000 56-65ys 5 ['web', 'email'] 20
## 1826 2016-07-04 64000 46-55ys 5 ['web', 'email'] 20
## 1827 2018-01-20 51000 46-55ys 5 ['web', 'email'] 20
## 1828 2018-01-08 58000 66-75ys 5 ['web', 'email'] 20
## 1829 2017-08-15 43000 26-35ys 5 ['web', 'email'] 20
## 1830 2017-09-29 84000 56-65ys 5 ['web', 'email'] 20
## 1831 2017-01-28 44000 > 86ys 5 ['web', 'email'] 20
## 1832 2017-08-16 106000 76-85ys 5 ['web', 'email'] 20
## 1833 2017-12-07 74000 76-85ys 5 ['web', 'email'] 20
## 1834 2017-08-13 37000 56-65ys 5 ['web', 'email'] 20
## 1835 2015-10-26 103000 56-65ys 5 ['web', 'email'] 20
## 1836 2017-11-15 42000 26-35ys 5 ['web', 'email'] 20
## 1837 2017-02-04 82000 46-55ys 5 ['web', 'email'] 20
## 1838 2018-07-02 116000 76-85ys 5 ['web', 'email'] 20
## 1839 2017-02-22 71000 66-75ys 5 ['web', 'email'] 20
## 1840 2015-09-11 47000 26-35ys 5 ['web', 'email'] 20
## 1841 2017-05-12 63000 46-55ys 5 ['web', 'email'] 20
## 1842 2017-03-24 86000 36-45ys 5 ['web', 'email'] 20
## 1843 2017-01-31 70000 26-35ys 5 ['web', 'email'] 20
## 1844 2018-02-20 56000 56-65ys 5 ['web', 'email'] 20
## 1845 2016-10-30 33000 56-65ys 5 ['web', 'email'] 20
## 1846 2016-11-30 70000 18-25ys 5 ['web', 'email'] 20
## 1847 2017-11-18 57000 46-55ys 5 ['web', 'email'] 20
## 1848 2015-09-10 35000 56-65ys 5 ['web', 'email'] 20
## 1849 2016-07-04 112000 56-65ys 5 ['web', 'email'] 20
## 1850 2016-10-27 42000 26-35ys 5 ['web', 'email'] 20
## 1851 2014-06-03 99000 36-45ys 5 ['web', 'email'] 20
## 1852 2016-05-21 51000 76-85ys 5 ['web', 'email'] 20
## 1853 2017-02-02 59000 46-55ys 5 ['web', 'email'] 20
## 1854 2017-12-31 66000 66-75ys 5 ['web', 'email'] 20
## 1855 2016-07-11 76000 76-85ys 5 ['web', 'email'] 20
## 1856 2017-12-31 66000 66-75ys 5 ['web', 'email'] 20
## 1857 2017-01-02 37000 18-25ys 5 ['web', 'email'] 20
## 1858 2015-04-25 53000 46-55ys 5 ['web', 'email'] 20
## 1859 2016-12-13 50000 56-65ys 5 ['web', 'email'] 20
## 1860 2015-10-10 118000 56-65ys 5 ['web', 'email'] 20
## 1861 2017-06-16 108000 66-75ys 5 ['web', 'email'] 20
## 1862 2016-07-03 94000 46-55ys 5 ['web', 'email'] 20
## 1863 2018-07-19 103000 56-65ys 5 ['web', 'email'] 20
## 1864 2015-12-11 79000 66-75ys 5 ['web', 'email'] 20
## 1865 2017-01-28 45000 18-25ys 5 ['web', 'email'] 20
## 1866 2016-06-05 54000 56-65ys 5 ['web', 'email'] 20
## 1867 2017-09-06 83000 56-65ys 5 ['web', 'email'] 20
## 1868 2016-10-20 81000 76-85ys 5 ['web', 'email'] 20
## 1869 2016-08-17 89000 46-55ys 5 ['web', 'email'] 20
## 1870 2017-12-26 33000 36-45ys 5 ['web', 'email'] 20
## 1871 2015-09-19 88000 76-85ys 5 ['web', 'email'] 20
## 1872 2013-08-05 40000 26-35ys 5 ['web', 'email'] 20
## 1873 2016-03-28 87000 56-65ys 5 ['web', 'email'] 20
## 1874 2018-05-10 35000 18-25ys 5 ['web', 'email'] 20
## 1875 2018-03-20 43000 26-35ys 5 ['web', 'email'] 20
## 1876 2017-08-15 31000 26-35ys 5 ['web', 'email'] 20
## 1877 2017-10-15 87000 46-55ys 5 ['web', 'email'] 20
## 1878 2018-02-10 65000 36-45ys 5 ['web', 'email'] 20
## 1879 2016-06-16 96000 56-65ys 5 ['web', 'email'] 20
## 1880 2018-03-26 95000 56-65ys 5 ['web', 'email'] 20
## 1881 2017-09-30 97000 46-55ys 5 ['web', 'email'] 20
## 1882 2018-02-02 91000 56-65ys 5 ['web', 'email'] 20
## 1883 2015-11-19 76000 > 86ys 5 ['web', 'email'] 20
## 1884 2018-04-29 115000 56-65ys 5 ['web', 'email'] 20
## 1885 2015-11-17 80000 76-85ys 5 ['web', 'email'] 20
## 1886 2015-08-04 82000 46-55ys 5 ['web', 'email'] 20
## 1887 2018-05-22 60000 46-55ys 5 ['web', 'email'] 20
## 1888 2018-02-07 48000 18-25ys 5 ['web', 'email'] 20
## 1889 2018-07-17 36000 56-65ys 5 ['web', 'email'] 20
## 1890 2018-01-27 46000 56-65ys 5 ['web', 'email'] 20
## 1891 2018-03-19 51000 26-35ys 5 ['web', 'email'] 20
## 1892 2018-04-20 32000 66-75ys 5 ['web', 'email'] 20
## 1893 2017-03-02 71000 56-65ys 5 ['web', 'email'] 20
## 1894 2017-12-04 93000 56-65ys 5 ['web', 'email'] 20
## 1895 2018-04-01 51000 66-75ys 5 ['web', 'email'] 20
## 1896 2014-04-25 35000 46-55ys 5 ['web', 'email'] 20
## 1897 2017-08-26 69000 36-45ys 5 ['web', 'email'] 20
## 1898 2018-03-16 85000 46-55ys 5 ['web', 'email'] 20
## 1899 2017-08-01 41000 26-35ys 5 ['web', 'email'] 20
## 1900 2017-10-23 63000 56-65ys 5 ['web', 'email'] 20
## 1901 2017-06-06 118000 46-55ys 5 ['web', 'email'] 20
## 1902 2018-07-18 33000 36-45ys 5 ['web', 'email'] 20
## 1903 2016-07-19 86000 76-85ys 5 ['web', 'email'] 20
## 1904 2017-08-15 78000 46-55ys 5 ['web', 'email'] 20
## 1905 2017-04-20 61000 66-75ys 5 ['web', 'email'] 20
## 1906 2017-04-04 35000 26-35ys 5 ['web', 'email'] 20
## 1907 2018-01-13 59000 46-55ys 5 ['web', 'email'] 20
## 1908 2016-07-01 108000 76-85ys 5 ['web', 'email'] 20
## 1909 2018-03-17 54000 56-65ys 5 ['web', 'email'] 20
## 1910 2016-10-18 56000 56-65ys 5 ['web', 'email'] 20
## 1911 2017-08-06 76000 36-45ys 5 ['web', 'email'] 20
## 1912 2016-04-30 34000 26-35ys 5 ['web', 'email'] 20
## 1913 2017-04-17 30000 46-55ys 5 ['web', 'email'] 20
## 1914 2017-01-24 72000 46-55ys 5 ['web', 'email'] 20
## 1915 2018-06-08 43000 56-65ys 5 ['web', 'email'] 20
## 1916 2018-04-21 40000 36-45ys 5 ['web', 'email'] 20
## 1917 2016-01-29 96000 56-65ys 5 ['web', 'email'] 20
## 1918 2018-04-17 57000 46-55ys 5 ['web', 'email'] 20
## 1919 2015-11-26 62000 46-55ys 5 ['web', 'email'] 20
## 1920 2016-10-17 69000 36-45ys 5 ['web', 'email'] 20
## 1921 2018-02-17 53000 46-55ys 5 ['web', 'email'] 20
## 1922 2013-12-01 39000 46-55ys 5 ['web', 'email'] 20
## 1923 2017-08-27 108000 56-65ys 5 ['web', 'email'] 20
## 1924 2018-01-14 88000 46-55ys 5 ['web', 'email'] 20
## 1925 2017-09-07 56000 18-25ys 5 ['web', 'email'] 20
## 1926 2017-09-14 56000 56-65ys 5 ['web', 'email'] 20
## 1927 2016-05-29 55000 46-55ys 5 ['web', 'email'] 20
## 1928 2017-11-29 72000 66-75ys 5 ['web', 'email'] 20
## 1929 2018-04-29 119000 66-75ys 5 ['web', 'email'] 20
## 1930 2017-12-03 75000 46-55ys 5 ['web', 'email'] 20
## 1931 2018-06-28 38000 18-25ys 5 ['web', 'email'] 20
## 1932 2018-03-25 53000 46-55ys 5 ['web', 'email'] 20
## 1933 2017-11-09 76000 66-75ys 5 ['web', 'email'] 20
## 1934 2018-04-21 72000 46-55ys 5 ['web', 'email'] 20
## 1935 2017-09-04 52000 56-65ys 5 ['web', 'email'] 20
## 1936 2017-02-17 45000 56-65ys 5 ['web', 'email'] 20
## 1937 2016-01-05 49000 36-45ys 5 ['web', 'email'] 20
## 1938 2016-10-09 83000 36-45ys 5 ['web', 'email'] 20
## 1939 2018-07-26 88000 56-65ys 5 ['web', 'email'] 20
## 1940 2017-07-27 47000 56-65ys 5 ['web', 'email'] 20
## 1941 2016-01-13 73000 66-75ys 5 ['web', 'email'] 20
## 1942 2018-07-15 30000 36-45ys 5 ['web', 'email'] 20
## 1943 2014-02-07 74000 46-55ys 5 ['web', 'email'] 20
## 1944 2017-10-05 94000 76-85ys 5 ['web', 'email'] 20
## 1945 2016-09-27 103000 76-85ys 5 ['web', 'email'] 20
## 1946 2016-02-19 53000 26-35ys 5 ['web', 'email'] 20
## 1947 2018-01-06 58000 66-75ys 5 ['web', 'email'] 20
## 1948 2017-05-18 57000 36-45ys 5 ['web', 'email'] 20
## 1949 2016-01-19 113000 56-65ys 5 ['web', 'email'] 20
## 1950 2017-12-09 88000 46-55ys 5 ['web', 'email'] 20
## 1951 2017-11-13 49000 36-45ys 5 ['web', 'email'] 20
## 1952 2018-07-24 97000 66-75ys 5 ['web', 'email'] 20
## 1953 2017-09-20 32000 26-35ys 5 ['web', 'email'] 20
## 1954 2016-12-18 91000 56-65ys 5 ['web', 'email'] 20
## 1955 2017-04-28 80000 66-75ys 5 ['web', 'email'] 20
## 1956 2018-01-26 65000 66-75ys 5 ['web', 'email'] 20
## 1957 2017-11-27 52000 66-75ys 5 ['web', 'email'] 20
## 1958 2018-03-21 53000 18-25ys 5 ['web', 'email'] 20
## 1959 2017-01-31 86000 36-45ys 5 ['web', 'email'] 20
## 1960 2018-04-24 35000 26-35ys 5 ['web', 'email'] 20
## 1961 2018-05-21 88000 36-45ys 5 ['web', 'email'] 20
## 1962 2017-12-22 59000 66-75ys 5 ['web', 'email'] 20
## 1963 2018-03-18 46000 66-75ys 5 ['web', 'email'] 20
## 1964 2016-06-09 89000 66-75ys 5 ['web', 'email'] 20
## 1965 2017-09-21 104000 66-75ys 5 ['web', 'email'] 20
## 1966 2017-03-06 83000 56-65ys 5 ['web', 'email'] 20
## 1967 2016-11-08 93000 76-85ys 5 ['web', 'email'] 20
## 1968 2014-04-04 86000 56-65ys 5 ['web', 'email'] 20
## 1969 2016-04-12 114000 76-85ys 5 ['web', 'email'] 20
## 1970 2017-11-01 64000 26-35ys 5 ['web', 'email'] 20
## 1971 2017-11-09 59000 46-55ys 5 ['web', 'email'] 20
## 1972 2018-06-22 41000 46-55ys 5 ['web', 'email'] 20
## 1973 2017-11-18 57000 46-55ys 5 ['web', 'email'] 20
## 1974 2016-04-30 56000 56-65ys 5 ['web', 'email'] 20
## 1975 2016-01-26 53000 56-65ys 5 ['web', 'email'] 20
## 1976 2018-04-21 51000 56-65ys 5 ['web', 'email'] 20
## 1977 2016-06-19 74000 46-55ys 5 ['web', 'email'] 20
## 1978 2016-08-24 107000 66-75ys 5 ['web', 'email'] 20
## 1979 2018-05-05 93000 56-65ys 5 ['web', 'email'] 20
## 1980 2014-11-22 42000 18-25ys 5 ['web', 'email'] 20
## 1981 2016-07-02 106000 56-65ys 5 ['web', 'email'] 20
## 1982 2018-01-19 68000 26-35ys 5 ['web', 'email'] 20
## 1983 2017-09-17 70000 36-45ys 5 ['web', 'email'] 20
## 1984 2016-07-15 118000 46-55ys 5 ['web', 'email'] 20
## 1985 2016-06-24 95000 36-45ys 5 ['web', 'email'] 20
## 1986 2018-03-06 68000 46-55ys 5 ['web', 'email'] 20
## 1987 2016-06-14 54000 46-55ys 5 ['web', 'email'] 20
## 1988 2018-06-25 65000 46-55ys 5 ['web', 'email'] 20
## 1989 2017-05-08 99000 56-65ys 5 ['web', 'email'] 20
## 1990 2016-05-29 42000 56-65ys 5 ['web', 'email'] 20
## 1991 2016-06-09 74000 > 86ys 5 ['web', 'email'] 20
## 1992 2018-03-29 98000 56-65ys 5 ['web', 'email'] 20
## 1993 2017-08-07 36000 36-45ys 5 ['web', 'email'] 20
## 1994 2017-04-08 35000 56-65ys 5 ['web', 'email'] 20
## 1995 2017-03-07 59000 46-55ys 5 ['web', 'email'] 20
## 1996 2016-04-18 78000 66-75ys 5 ['web', 'email'] 20
## 1997 2017-09-07 67000 56-65ys 5 ['web', 'email'] 20
## 1998 2017-07-26 71000 26-35ys 5 ['web', 'email'] 20
## 1999 2018-03-26 95000 56-65ys 5 ['web', 'email'] 20
## 2000 2015-03-23 34000 46-55ys 5 ['web', 'email'] 20
## 2001 2017-08-12 36000 36-45ys 5 ['web', 'email'] 20
## 2002 2017-12-01 51000 26-35ys 5 ['web', 'email'] 20
## 2003 2018-03-21 38000 18-25ys 5 ['web', 'email'] 20
## 2004 2015-10-16 33000 56-65ys 5 ['web', 'email'] 20
## 2005 2016-12-31 95000 56-65ys 5 ['web', 'email'] 20
## 2006 2018-01-09 58000 46-55ys 5 ['web', 'email'] 20
## 2007 2014-09-22 99000 56-65ys 5 ['web', 'email'] 20
## 2008 2015-12-16 77000 46-55ys 5 ['web', 'email'] 20
## 2009 2017-01-21 117000 46-55ys 5 ['web', 'email'] 20
## 2010 2015-07-30 87000 46-55ys 5 ['web', 'email'] 20
## 2011 2018-01-18 52000 26-35ys 5 ['web', 'email'] 20
## 2012 2013-08-11 31000 66-75ys 5 ['web', 'email'] 20
## 2013 2016-08-04 41000 46-55ys 5 ['web', 'email'] 20
## 2014 2015-09-02 90000 56-65ys 5 ['web', 'email'] 20
## 2015 2016-01-03 90000 56-65ys 5 ['web', 'email'] 20
## 2016 2016-08-03 110000 66-75ys 5 ['web', 'email'] 20
## 2017 2015-08-23 88000 56-65ys 5 ['web', 'email'] 20
## 2018 2018-01-19 67000 26-35ys 5 ['web', 'email'] 20
## 2019 2017-02-13 90000 36-45ys 5 ['web', 'email'] 20
## 2020 2017-12-04 45000 56-65ys 5 ['web', 'email'] 20
## 2021 2016-05-11 107000 76-85ys 5 ['web', 'email'] 20
## 2022 2016-05-19 83000 46-55ys 5 ['web', 'email'] 20
## 2023 2017-11-01 87000 66-75ys 5 ['web', 'email'] 20
## 2024 2017-08-09 92000 46-55ys 5 ['web', 'email'] 20
## 2025 2018-03-21 73000 46-55ys 5 ['web', 'email'] 20
## 2026 2016-12-05 98000 56-65ys 5 ['web', 'email'] 20
## 2027 2017-09-14 103000 56-65ys 5 ['web', 'email'] 20
## 2028 2017-11-09 43000 26-35ys 5 ['web', 'email'] 20
## 2029 2015-09-02 90000 56-65ys 5 ['web', 'email'] 20
## 2030 2017-09-04 35000 > 86ys 5 ['web', 'email'] 20
## 2031 2018-04-02 48000 66-75ys 5 ['web', 'email'] 20
## 2032 2014-06-03 55000 56-65ys 5 ['web', 'email'] 20
## 2033 2018-02-23 70000 18-25ys 5 ['web', 'email'] 20
## 2034 2018-05-19 72000 56-65ys 5 ['web', 'email'] 20
## 2035 2017-07-15 76000 56-65ys 5 ['web', 'email'] 20
## 2036 2015-08-04 51000 36-45ys 5 ['web', 'email'] 20
## 2037 2014-03-27 33000 66-75ys 5 ['web', 'email'] 20
## 2038 2017-06-15 34000 76-85ys 5 ['web', 'email'] 20
## 2039 2016-06-20 100000 > 86ys 5 ['web', 'email'] 20
## 2040 2014-01-14 64000 76-85ys 5 ['web', 'email'] 20
## 2041 2013-12-09 65000 36-45ys 5 ['web', 'email'] 20
## 2042 2017-10-23 47000 66-75ys 5 ['web', 'email'] 20
## 2043 2017-10-19 37000 56-65ys 5 ['web', 'email'] 20
## 2044 2016-03-19 81000 66-75ys 5 ['web', 'email'] 20
## 2045 2017-03-09 52000 26-35ys 5 ['web', 'email'] 20
## 2046 2017-06-24 73000 56-65ys 5 ['web', 'email'] 20
## 2047 2017-07-01 70000 56-65ys 5 ['web', 'email'] 20
## 2048 2017-11-29 87000 56-65ys 5 ['web', 'email'] 20
## 2049 2018-06-28 38000 18-25ys 5 ['web', 'email'] 20
## 2050 2017-11-07 49000 18-25ys 5 ['web', 'email'] 20
## 2051 2016-08-04 104000 66-75ys 5 ['web', 'email'] 20
## 2052 2016-08-03 60000 36-45ys 5 ['web', 'email'] 20
## 2053 2017-04-07 64000 66-75ys 5 ['web', 'email'] 20
## 2054 2018-03-19 73000 76-85ys 5 ['web', 'email'] 20
## 2055 2017-09-12 55000 36-45ys 5 ['web', 'email'] 20
## 2056 2017-11-02 89000 36-45ys 5 ['web', 'email'] 20
## 2057 2018-06-11 35000 66-75ys 5 ['web', 'email'] 20
## 2058 2017-05-19 46000 26-35ys 5 ['web', 'email'] 20
## 2059 2016-09-08 79000 76-85ys 5 ['web', 'email'] 20
## 2060 2017-09-19 52000 56-65ys 5 ['web', 'email'] 20
## 2061 2017-12-04 63000 46-55ys 5 ['web', 'email'] 20
## 2062 2017-10-10 39000 46-55ys 5 ['web', 'email'] 20
## 2063 2017-12-16 49000 36-45ys 5 ['web', 'email'] 20
## 2064 2017-12-20 49000 46-55ys 5 ['web', 'email'] 20
## 2065 2014-10-15 90000 46-55ys 5 ['web', 'email'] 20
## 2066 2018-02-16 94000 56-65ys 5 ['web', 'email'] 20
## 2067 2018-05-29 105000 46-55ys 5 ['web', 'email'] 20
## 2068 2014-05-18 56000 18-25ys 5 ['web', 'email'] 20
## 2069 2017-12-04 63000 46-55ys 5 ['web', 'email'] 20
## 2070 2018-02-24 68000 56-65ys 5 ['web', 'email'] 20
## 2071 2016-04-27 85000 46-55ys 5 ['web', 'email'] 20
## 2072 2015-08-15 116000 46-55ys 5 ['web', 'email'] 20
## 2073 2017-09-26 38000 18-25ys 5 ['web', 'email'] 20
## 2074 2017-12-27 81000 56-65ys 5 ['web', 'email'] 20
## 2075 2016-10-15 52000 46-55ys 5 ['web', 'email'] 20
## 2076 2017-05-31 65000 76-85ys 5 ['web', 'email'] 20
## 2077 2017-12-12 38000 66-75ys 5 ['web', 'email'] 20
## 2078 2017-06-20 69000 66-75ys 5 ['web', 'email'] 20
## 2079 2017-05-31 65000 76-85ys 5 ['web', 'email'] 20
## 2080 2017-10-26 108000 56-65ys 5 ['web', 'email'] 20
## 2081 2017-03-19 55000 26-35ys 5 ['web', 'email'] 20
## 2082 2018-05-01 33000 46-55ys 5 ['web', 'email'] 20
## 2083 2017-08-17 63000 36-45ys 5 ['web', 'email'] 20
## 2084 2017-08-26 48000 18-25ys 5 ['web', 'email'] 20
## 2085 2016-09-29 66000 46-55ys 5 ['web', 'email'] 20
## 2086 2018-03-17 37000 18-25ys 5 ['web', 'email'] 20
## 2087 2017-03-03 96000 56-65ys 5 ['web', 'email'] 20
## 2088 2018-04-24 35000 26-35ys 5 ['web', 'email'] 20
## 2089 2015-10-30 70000 56-65ys 5 ['web', 'email'] 20
## 2090 2018-05-24 71000 76-85ys 5 ['web', 'email'] 20
## 2091 2018-05-16 84000 36-45ys 5 ['web', 'email'] 20
## 2092 2017-08-15 71000 46-55ys 5 ['web', 'email'] 20
## 2093 2016-10-23 51000 46-55ys 5 ['web', 'email'] 20
## 2094 2014-12-01 31000 36-45ys 5 ['web', 'email'] 20
## 2095 2017-09-21 80000 76-85ys 5 ['web', 'email'] 20
## 2096 2015-12-10 88000 46-55ys 5 ['web', 'email'] 20
## 2097 2017-05-15 113000 46-55ys 5 ['web', 'email'] 20
## 2098 2017-09-22 70000 36-45ys 5 ['web', 'email'] 20
## 2099 2018-03-29 78000 66-75ys 5 ['web', 'email'] 20
## 2100 2018-07-06 91000 66-75ys 5 ['web', 'email'] 20
## 2101 2017-10-31 77000 56-65ys 5 ['web', 'email'] 20
## 2102 2015-10-01 40000 18-25ys 5 ['web', 'email'] 20
## 2103 2018-07-10 74000 76-85ys 5 ['web', 'email'] 20
## 2104 2018-01-08 69000 66-75ys 5 ['web', 'email'] 20
## 2105 2016-11-15 89000 66-75ys 5 ['web', 'email'] 20
## 2106 2015-05-25 57000 66-75ys 5 ['web', 'email'] 20
## 2107 2016-09-11 52000 26-35ys 5 ['web', 'email'] 20
## 2108 2017-11-25 39000 36-45ys 5 ['web', 'email'] 20
## 2109 2015-09-25 96000 56-65ys 5 ['web', 'email'] 20
## 2110 2018-01-10 44000 46-55ys 5 ['web', 'email'] 20
## 2111 2016-12-13 73000 76-85ys 5 ['web', 'email'] 20
## 2112 2016-03-21 83000 46-55ys 5 ['web', 'email'] 20
## 2113 2016-03-21 83000 46-55ys 5 ['web', 'email'] 20
## 2114 2017-11-26 54000 18-25ys 5 ['web', 'email'] 20
## 2115 2017-01-12 68000 36-45ys 5 ['web', 'email'] 20
## 2116 2018-05-08 92000 66-75ys 5 ['web', 'email'] 20
## 2117 2017-11-09 59000 26-35ys 5 ['web', 'email'] 20
## 2118 2015-07-30 87000 46-55ys 5 ['web', 'email'] 20
## 2119 2018-07-15 113000 66-75ys 5 ['web', 'email'] 20
## 2120 2018-01-08 54000 26-35ys 5 ['web', 'email'] 20
## 2121 2017-05-19 48000 46-55ys 5 ['web', 'email'] 20
## 2122 2015-07-22 75000 66-75ys 5 ['web', 'email'] 20
## 2123 2017-08-11 54000 36-45ys 5 ['web', 'email'] 20
## 2124 2018-06-29 36000 66-75ys 5 ['web', 'email'] 20
## 2125 2018-02-12 89000 76-85ys 5 ['web', 'email'] 20
## 2126 2018-03-10 76000 76-85ys 5 ['web', 'email'] 20
## 2127 2016-06-03 55000 46-55ys 5 ['web', 'email'] 20
## 2128 2018-06-07 116000 66-75ys 5 ['web', 'email'] 20
## 2129 2018-04-22 43000 36-45ys 5 ['web', 'email'] 20
## 2130 2015-08-31 73000 56-65ys 5 ['web', 'email'] 20
## 2131 2016-08-21 63000 36-45ys 5 ['web', 'email'] 20
## 2132 2017-11-07 90000 66-75ys 5 ['web', 'email'] 20
## 2133 2017-06-07 90000 36-45ys 5 ['web', 'email'] 20
## 2134 2017-08-01 58000 46-55ys 5 ['web', 'email'] 20
## 2135 2016-05-23 93000 46-55ys 5 ['web', 'email'] 20
## 2136 2016-01-16 117000 76-85ys 5 ['web', 'email'] 20
## 2137 2017-03-26 85000 76-85ys 5 ['web', 'email'] 20
## 2138 2017-08-06 38000 76-85ys 5 ['web', 'email'] 20
## 2139 2015-03-12 59000 18-25ys 5 ['web', 'email'] 20
## 2140 2018-07-26 74000 36-45ys 5 ['web', 'email'] 20
## 2141 2017-02-01 72000 46-55ys 5 ['web', 'email'] 20
## 2142 2017-10-25 49000 46-55ys 5 ['web', 'email'] 20
## 2143 2015-08-03 55000 36-45ys 5 ['web', 'email'] 20
## 2144 2017-06-11 74000 36-45ys 5 ['web', 'email'] 20
## 2145 2017-04-01 97000 46-55ys 5 ['web', 'email'] 20
## 2146 2018-02-18 52000 76-85ys 5 ['web', 'email'] 20
## 2147 2016-10-13 51000 36-45ys 5 ['web', 'email'] 20
## 2148 2017-09-20 87000 66-75ys 5 ['web', 'email'] 20
## 2149 2017-12-09 67000 66-75ys 5 ['web', 'email'] 20
## 2150 2015-09-02 91000 36-45ys 5 ['web', 'email'] 20
## 2151 2016-10-08 82000 46-55ys 5 ['web', 'email'] 20
## 2152 2017-03-06 113000 76-85ys 5 ['web', 'email'] 20
## 2153 2018-01-30 67000 46-55ys 5 ['web', 'email'] 20
## 2154 2018-06-17 47000 26-35ys 5 ['web', 'email'] 20
## 2155 2016-04-19 60000 56-65ys 5 ['web', 'email'] 20
## 2156 2018-01-22 90000 66-75ys 5 ['web', 'email'] 20
## 2157 2018-04-16 43000 36-45ys 5 ['web', 'email'] 20
## 2158 2018-04-20 85000 76-85ys 5 ['web', 'email'] 20
## 2159 2015-08-31 73000 56-65ys 5 ['web', 'email'] 20
## 2160 2017-08-03 105000 66-75ys 5 ['web', 'email'] 20
## 2161 2017-10-18 34000 18-25ys 5 ['web', 'email'] 20
## 2162 2015-01-25 82000 46-55ys 5 ['web', 'email'] 20
## 2163 2013-08-15 75000 36-45ys 5 ['web', 'email'] 20
## 2164 2018-06-22 92000 36-45ys 5 ['web', 'email'] 20
## 2165 2016-08-07 55000 66-75ys 5 ['web', 'email'] 20
## 2166 2018-03-08 36000 66-75ys 5 ['web', 'email'] 20
## 2167 2017-11-01 42000 46-55ys 5 ['web', 'email'] 20
## 2168 2016-04-30 51000 36-45ys 5 ['web', 'email'] 20
## 2169 2014-02-13 46000 18-25ys 5 ['web', 'email'] 20
## 2170 2014-02-13 42000 56-65ys 5 ['web', 'email'] 20
## 2171 2017-08-24 73000 66-75ys 5 ['web', 'email'] 20
## 2172 2017-04-24 119000 76-85ys 5 ['web', 'email'] 20
## 2173 2017-07-31 45000 > 86ys 5 ['web', 'email'] 20
## 2174 2017-05-29 56000 36-45ys 5 ['web', 'email'] 20
## 2175 2016-12-29 75000 26-35ys 5 ['web', 'email'] 20
## 2176 2017-07-30 46000 26-35ys 5 ['web', 'email'] 20
## 2177 2016-08-05 70000 56-65ys 5 ['web', 'email'] 20
## 2178 2013-10-03 36000 18-25ys 5 ['web', 'email'] 20
## 2179 2018-03-08 36000 66-75ys 5 ['web', 'email'] 20
## 2180 2016-01-17 96000 36-45ys 5 ['web', 'email'] 20
## 2181 2018-07-11 74000 26-35ys 5 ['web', 'email'] 20
## 2182 2017-04-17 74000 46-55ys 5 ['web', 'email'] 20
## 2183 2017-12-28 49000 36-45ys 5 ['web', 'email'] 20
## 2184 2017-09-09 100000 56-65ys 5 ['web', 'email'] 20
## 2185 2017-08-28 48000 36-45ys 5 ['web', 'email'] 20
## 2186 2017-09-09 100000 56-65ys 5 ['web', 'email'] 20
## 2187 2017-10-19 72000 36-45ys 5 ['web', 'email'] 20
## 2188 2017-10-19 72000 36-45ys 5 ['web', 'email'] 20
## 2189 2015-06-07 61000 18-25ys 5 ['web', 'email'] 20
## 2190 2016-07-29 95000 56-65ys 5 ['web', 'email'] 20
## 2191 2017-08-04 52000 66-75ys 5 ['web', 'email'] 20
## 2192 2015-10-16 31000 18-25ys 5 ['web', 'email'] 20
## 2193 2015-11-23 76000 46-55ys 5 ['web', 'email'] 20
## 2194 2017-10-07 101000 > 86ys 5 ['web', 'email'] 20
## 2195 2017-10-01 34000 56-65ys 5 ['web', 'email'] 20
## 2196 2016-06-28 39000 46-55ys 5 ['web', 'email'] 20
## 2197 2017-09-23 62000 46-55ys 5 ['web', 'email'] 20
## 2198 2017-01-26 61000 76-85ys 5 ['web', 'email'] 20
## 2199 2018-06-05 58000 46-55ys 5 ['web', 'email'] 20
## 2200 2018-07-26 67000 76-85ys 5 ['web', 'email'] 20
## 2201 2016-02-17 61000 36-45ys 5 ['web', 'email'] 20
## 2202 2017-02-04 82000 46-55ys 5 ['web', 'email'] 20
## 2203 2018-06-12 75000 56-65ys 5 ['web', 'email'] 20
## 2204 2017-03-05 68000 56-65ys 5 ['web', 'email'] 20
## 2205 2016-09-08 91000 56-65ys 5 ['web', 'email'] 20
## 2206 2017-12-24 58000 46-55ys 5 ['web', 'email'] 20
## 2207 2017-08-30 41000 26-35ys 5 ['web', 'email'] 20
## 2208 2018-06-20 58000 36-45ys 5 ['web', 'email'] 20
## 2209 2018-03-28 64000 46-55ys 5 ['web', 'email'] 20
## 2210 2017-08-25 73000 46-55ys 5 ['web', 'email'] 20
## 2211 2016-06-29 84000 36-45ys 5 ['web', 'email'] 20
## 2212 2017-03-11 82000 46-55ys 5 ['web', 'email'] 20
## 2213 2014-03-25 55000 > 86ys 5 ['web', 'email'] 20
## 2214 2015-12-31 41000 46-55ys 5 ['web', 'email'] 20
## 2215 2015-05-21 87000 46-55ys 5 ['web', 'email'] 20
## 2216 2018-06-04 64000 66-75ys 5 ['web', 'email'] 20
## 2217 2017-03-13 104000 46-55ys 5 ['web', 'email'] 20
## 2218 2018-02-02 55000 36-45ys 5 ['web', 'email'] 20
## 2219 2014-06-03 99000 36-45ys 5 ['web', 'email'] 20
## 2220 2015-12-12 85000 36-45ys 5 ['web', 'email'] 20
## 2221 2016-12-21 51000 36-45ys 5 ['web', 'email'] 20
## 2222 2016-11-22 81000 > 86ys 5 ['web', 'email'] 20
## 2223 2015-06-20 69000 56-65ys 5 ['web', 'email'] 20
## 2224 2017-11-06 67000 46-55ys 5 ['web', 'email'] 20
## 2225 2018-02-07 67000 76-85ys 5 ['web', 'email'] 20
## 2226 2015-12-12 85000 36-45ys 5 ['web', 'email'] 20
## 2227 2016-10-17 101000 66-75ys 5 ['web', 'email'] 20
## 2228 2016-05-21 51000 76-85ys 5 ['web', 'email'] 20
## 2229 2016-05-06 66000 46-55ys 5 ['web', 'email'] 20
## 2230 2018-06-17 52000 66-75ys 5 ['web', 'email'] 20
## 2231 2014-06-16 79000 56-65ys 5 ['web', 'email'] 20
## 2232 2017-09-16 50000 18-25ys 5 ['web', 'email'] 20
## 2233 2017-09-04 43000 76-85ys 5 ['web', 'email'] 20
## 2234 2018-07-07 84000 46-55ys 5 ['web', 'email'] 20
## 2235 2018-06-24 72000 36-45ys 5 ['web', 'email'] 20
## 2236 2018-07-07 84000 46-55ys 5 ['web', 'email'] 20
## 2237 2017-02-05 55000 46-55ys 5 ['web', 'email'] 20
## 2238 2017-02-05 55000 46-55ys 5 ['web', 'email'] 20
## 2239 2017-12-22 54000 56-65ys 5 ['web', 'email'] 20
## 2240 2018-01-29 80000 56-65ys 5 ['web', 'email'] 20
## 2241 2015-09-30 81000 76-85ys 5 ['web', 'email'] 20
## 2242 2016-11-29 87000 66-75ys 5 ['web', 'email'] 20
## 2243 2016-09-10 55000 46-55ys 5 ['web', 'email'] 20
## 2244 2016-01-13 72000 18-25ys 5 ['web', 'email'] 20
## 2245 2018-07-05 36000 56-65ys 5 ['web', 'email'] 20
## 2246 2015-11-26 74000 76-85ys 5 ['web', 'email'] 20
## 2247 2013-08-13 62000 56-65ys 5 ['web', 'email'] 20
## 2248 2018-07-09 67000 56-65ys 5 ['web', 'email'] 20
## 2249 2017-06-21 88000 46-55ys 5 ['web', 'email'] 20
## 2250 2017-06-06 109000 56-65ys 5 ['web', 'email'] 20
## 2251 2018-07-13 38000 36-45ys 5 ['web', 'email'] 20
## 2252 2017-09-16 78000 36-45ys 5 ['web', 'email'] 20
## 2253 2017-07-25 92000 56-65ys 5 ['web', 'email'] 20
## 2254 2015-08-10 108000 56-65ys 5 ['web', 'email'] 20
## 2255 2016-09-30 61000 76-85ys 5 ['web', 'email'] 20
## 2256 2018-03-25 56000 46-55ys 5 ['web', 'email'] 20
## 2257 2017-09-16 78000 36-45ys 5 ['web', 'email'] 20
## 2258 2016-09-19 79000 56-65ys 5 ['web', 'email'] 20
## 2259 2015-11-28 74000 66-75ys 5 ['web', 'email'] 20
## 2260 2017-03-16 41000 56-65ys 5 ['web', 'email'] 20
## 2261 2017-12-18 52000 56-65ys 5 ['web', 'email'] 20
## 2262 2018-05-06 41000 46-55ys 5 ['web', 'email'] 20
## 2263 2018-06-13 75000 36-45ys 5 ['web', 'email'] 20
## 2264 2018-01-18 54000 46-55ys 5 ['web', 'email'] 20
## 2265 2017-08-18 68000 66-75ys 5 ['web', 'email'] 20
## 2266 2017-06-01 83000 66-75ys 5 ['web', 'email'] 20
## 2267 2016-06-25 58000 36-45ys 5 ['web', 'email'] 20
## 2268 2016-01-04 53000 46-55ys 5 ['web', 'email'] 20
## 2269 2017-09-09 51000 36-45ys 5 ['web', 'email'] 20
## 2270 2018-05-28 77000 76-85ys 5 ['web', 'email'] 20
## 2271 2014-01-24 63000 66-75ys 5 ['web', 'email'] 20
## 2272 2018-01-25 55000 46-55ys 5 ['web', 'email'] 20
## 2273 2016-10-09 72000 46-55ys 5 ['web', 'email'] 20
## 2274 2016-11-22 95000 56-65ys 5 ['web', 'email'] 20
## 2275 2015-10-25 60000 46-55ys 5 ['web', 'email'] 20
## 2276 2017-09-09 51000 36-45ys 5 ['web', 'email'] 20
## 2277 2017-09-09 32000 36-45ys 5 ['web', 'email'] 20
## 2278 2016-08-17 65000 66-75ys 5 ['web', 'email'] 20
## 2279 2017-10-27 32000 36-45ys 5 ['web', 'email'] 20
## 2280 2015-02-04 72000 56-65ys 5 ['web', 'email'] 20
## 2281 2018-01-18 72000 26-35ys 5 ['web', 'email'] 20
## 2282 2016-03-29 51000 56-65ys 5 ['web', 'email'] 20
## 2283 2017-11-24 65000 36-45ys 5 ['web', 'email'] 20
## 2284 2016-06-08 66000 76-85ys 5 ['web', 'email'] 20
## 2285 2018-01-15 58000 56-65ys 5 ['web', 'email'] 20
## 2286 2016-07-19 95000 36-45ys 5 ['web', 'email'] 20
## 2287 2017-08-18 50000 66-75ys 5 ['web', 'email'] 20
## 2288 2018-01-25 55000 46-55ys 5 ['web', 'email'] 20
## 2289 2017-11-24 65000 36-45ys 5 ['web', 'email'] 20
## 2290 2016-03-03 31000 18-25ys 5 ['web', 'email'] 20
## 2291 2016-01-31 57000 76-85ys 5 ['web', 'email'] 20
## 2292 2017-11-28 72000 > 86ys 5 ['web', 'email'] 20
## 2293 2017-02-26 82000 66-75ys 5 ['web', 'email'] 20
## 2294 2018-06-29 32000 36-45ys 5 ['web', 'email'] 20
## 2295 2017-08-21 37000 66-75ys 5 ['web', 'email'] 20
## 2296 2017-08-02 42000 46-55ys 5 ['web', 'email'] 20
## 2297 2017-06-26 72000 26-35ys 5 ['web', 'email'] 20
## 2298 2016-11-22 95000 56-65ys 5 ['web', 'email'] 20
## 2299 2017-09-07 79000 76-85ys 5 ['web', 'email'] 20
## 2300 2017-12-17 115000 46-55ys 5 ['web', 'email'] 20
## 2301 2018-05-24 65000 76-85ys 5 ['web', 'email'] 20
## 2302 2016-12-18 91000 56-65ys 5 ['web', 'email'] 20
## 2303 2016-12-16 97000 56-65ys 5 ['web', 'email'] 20
## 2304 2018-07-15 39000 46-55ys 5 ['web', 'email'] 20
## 2305 2015-09-09 81000 66-75ys 5 ['web', 'email'] 20
## 2306 2017-06-14 65000 36-45ys 5 ['web', 'email'] 20
## 2307 2018-01-19 51000 66-75ys 5 ['web', 'email'] 20
## 2308 2018-03-17 61000 36-45ys 5 ['web', 'email'] 20
## 2309 2017-08-23 40000 18-25ys 5 ['web', 'email'] 20
## 2310 2018-05-21 91000 76-85ys 5 ['web', 'email'] 20
## 2311 2017-04-11 68000 46-55ys 5 ['web', 'email'] 20
## 2312 2018-03-22 51000 56-65ys 5 ['web', 'email'] 20
## 2313 2017-09-22 43000 46-55ys 5 ['web', 'email'] 20
## 2314 2018-06-06 33000 18-25ys 5 ['web', 'email'] 20
## 2315 2017-02-02 73000 56-65ys 5 ['web', 'email'] 20
## 2316 2017-05-18 57000 36-45ys 5 ['web', 'email'] 20
## 2317 2017-02-07 59000 18-25ys 5 ['web', 'email'] 20
## 2318 2014-11-08 32000 26-35ys 5 ['web', 'email'] 20
## 2319 2017-11-25 61000 36-45ys 5 ['web', 'email'] 20
## 2320 2018-01-25 41000 46-55ys 5 ['web', 'email'] 20
## 2321 2017-08-06 39000 > 86ys 5 ['web', 'email'] 20
## 2322 2015-12-24 69000 66-75ys 5 ['web', 'email'] 20
## 2323 2018-07-26 92000 66-75ys 5 ['web', 'email'] 20
## 2324 2016-05-17 73000 56-65ys 5 ['web', 'email'] 20
## 2325 2016-09-06 89000 66-75ys 5 ['web', 'email'] 20
## 2326 2017-10-17 67000 18-25ys 5 ['web', 'email'] 20
## 2327 2017-08-20 72000 66-75ys 5 ['web', 'email'] 20
## 2328 2014-07-04 34000 76-85ys 5 ['web', 'email'] 20
## 2329 2017-08-06 39000 > 86ys 5 ['web', 'email'] 20
## 2330 2016-01-31 90000 66-75ys 5 ['web', 'email'] 20
## 2331 2016-01-14 100000 46-55ys 5 ['web', 'email'] 20
## 2332 2016-09-20 64000 66-75ys 5 ['web', 'email'] 20
## 2333 2018-01-16 51000 26-35ys 5 ['web', 'email'] 20
## 2334 2017-02-05 39000 36-45ys 5 ['web', 'email'] 20
## 2335 2016-05-28 50000 18-25ys 5 ['web', 'email'] 20
## 2336 2015-12-14 70000 36-45ys 5 ['web', 'email'] 20
## 2337 2016-08-12 57000 56-65ys 5 ['web', 'email'] 20
## 2338 2017-11-14 48000 26-35ys 5 ['web', 'email'] 20
## 2339 2017-10-12 65000 > 86ys 5 ['web', 'email'] 20
## 2340 2017-11-14 48000 26-35ys 5 ['web', 'email'] 20
## 2341 2015-12-08 91000 46-55ys 5 ['web', 'email'] 20
## 2342 2015-09-04 74000 66-75ys 5 ['web', 'email'] 20
## 2343 2017-08-13 75000 56-65ys 5 ['web', 'email'] 20
## 2344 2018-02-08 58000 56-65ys 5 ['web', 'email'] 20
## 2345 2016-08-29 107000 66-75ys 5 ['web', 'email'] 20
## 2346 2018-05-25 35000 56-65ys 5 ['web', 'email'] 20
## 2347 2018-03-03 97000 46-55ys 5 ['web', 'email'] 20
## 2348 2017-05-19 65000 26-35ys 5 ['web', 'email'] 20
## 2349 2017-11-26 47000 > 86ys 5 ['web', 'email'] 20
## 2350 2017-07-13 94000 66-75ys 5 ['web', 'email'] 20
## 2351 2017-12-06 78000 66-75ys 5 ['web', 'email'] 20
## 2352 2017-05-02 57000 46-55ys 5 ['web', 'email'] 20
## 2353 2017-04-04 37000 36-45ys 5 ['web', 'email'] 20
## 2354 2016-08-20 52000 66-75ys 5 ['web', 'email'] 20
## 2355 2016-08-04 52000 56-65ys 5 ['web', 'email'] 20
## 2356 2017-05-30 108000 46-55ys 5 ['web', 'email'] 20
## 2357 2016-04-15 112000 46-55ys 5 ['web', 'email'] 20
## 2358 2017-09-04 75000 46-55ys 5 ['web', 'email'] 20
## 2359 2017-01-06 49000 18-25ys 5 ['web', 'email'] 20
## 2360 2018-06-26 93000 76-85ys 5 ['web', 'email'] 20
## 2361 2018-04-22 37000 26-35ys 5 ['web', 'email'] 20
## 2362 2016-02-28 52000 56-65ys 5 ['web', 'email'] 20
## 2363 2017-09-01 43000 76-85ys 5 ['web', 'email'] 20
## 2364 2016-02-01 104000 46-55ys 5 ['web', 'email'] 20
## 2365 2017-11-20 87000 46-55ys 5 ['web', 'email'] 20
## 2366 2017-10-08 39000 26-35ys 5 ['web', 'email'] 20
## 2367 2017-10-03 73000 18-25ys 5 ['web', 'email'] 20
## 2368 2017-09-10 53000 46-55ys 5 ['web', 'email'] 20
## 2369 2018-07-22 76000 46-55ys 5 ['web', 'email'] 20
## 2370 2016-05-08 40000 46-55ys 5 ['web', 'email'] 20
## 2371 2018-01-07 51000 36-45ys 5 ['web', 'email'] 20
## 2372 2017-09-14 103000 56-65ys 5 ['web', 'email'] 20
## 2373 2016-07-25 54000 46-55ys 5 ['web', 'email'] 20
## 2374 2017-05-18 53000 > 86ys 5 ['web', 'email'] 20
## 2375 2016-06-01 59000 56-65ys 5 ['web', 'email'] 20
## 2376 2017-02-13 90000 36-45ys 5 ['web', 'email'] 20
## 2377 2017-09-12 81000 56-65ys 5 ['web', 'email'] 20
## 2378 2017-09-12 81000 56-65ys 5 ['web', 'email'] 20
## 2379 2016-07-05 69000 66-75ys 5 ['web', 'email'] 20
## 2380 2018-02-26 48000 56-65ys 5 ['web', 'email'] 20
## 2381 2017-09-12 81000 56-65ys 5 ['web', 'email'] 20
## 2382 2017-04-25 73000 26-35ys 5 ['web', 'email'] 20
## 2383 2017-09-09 81000 56-65ys 5 ['web', 'email'] 20
## 2384 2017-02-13 92000 56-65ys 5 ['web', 'email'] 20
## 2385 2018-02-07 58000 66-75ys 5 ['web', 'email'] 20
## 2386 2018-07-15 74000 56-65ys 5 ['web', 'email'] 20
## 2387 2017-02-20 73000 46-55ys 5 ['web', 'email'] 20
## 2388 2017-03-01 52000 76-85ys 5 ['web', 'email'] 20
## 2389 2017-10-08 53000 18-25ys 5 ['web', 'email'] 20
## 2390 2017-11-21 50000 26-35ys 5 ['web', 'email'] 20
## 2391 2017-11-01 99000 66-75ys 5 ['web', 'email'] 20
## 2392 2018-05-19 74000 36-45ys 5 ['web', 'email'] 20
## 2393 2016-01-03 90000 56-65ys 5 ['web', 'email'] 20
## 2394 2017-03-09 52000 26-35ys 5 ['web', 'email'] 20
## 2395 2017-09-21 40000 56-65ys 5 ['web', 'email'] 20
## 2396 2016-10-01 96000 76-85ys 5 ['web', 'email'] 20
## 2397 2017-07-05 54000 36-45ys 5 ['web', 'email'] 20
## 2398 2017-01-31 75000 46-55ys 5 ['web', 'email'] 20
## 2399 2016-03-06 77000 46-55ys 5 ['web', 'email'] 20
## 2400 2018-06-29 98000 56-65ys 5 ['web', 'email'] 20
## 2401 2018-02-16 83000 56-65ys 5 ['web', 'email'] 20
## 2402 2017-08-27 58000 36-45ys 5 ['web', 'email'] 20
## 2403 2016-07-11 41000 18-25ys 5 ['web', 'email'] 20
## 2404 2013-10-07 54000 46-55ys 5 ['web', 'email'] 20
## 2405 2017-01-27 75000 66-75ys 5 ['web', 'email'] 20
## 2406 2017-03-12 83000 36-45ys 5 ['web', 'email'] 20
## 2407 2018-04-16 51000 18-25ys 5 ['web', 'email'] 20
## 2408 2017-11-22 52000 36-45ys 5 ['web', 'email'] 20
## 2409 2017-04-03 74000 56-65ys 5 ['web', 'email'] 20
## 2410 2016-02-01 51000 56-65ys 5 ['web', 'email'] 20
## 2411 2018-03-21 86000 > 86ys 5 ['web', 'email'] 20
## 2412 2016-07-28 119000 46-55ys 5 ['web', 'email'] 20
## 2413 2015-10-01 50000 56-65ys 5 ['web', 'email'] 20
## 2414 2017-11-05 74000 46-55ys 5 ['web', 'email'] 20
## 2415 2018-04-10 55000 18-25ys 5 ['web', 'email'] 20
## 2416 2018-01-01 60000 36-45ys 5 ['web', 'email'] 20
## 2417 2015-08-31 85000 46-55ys 5 ['web', 'email'] 20
## 2418 2017-11-07 49000 18-25ys 5 ['web', 'email'] 20
## 2419 2014-09-27 91000 66-75ys 5 ['web', 'email'] 20
## 2420 2018-02-24 49000 18-25ys 5 ['web', 'email'] 20
## 2421 2018-03-09 94000 56-65ys 5 ['web', 'email'] 20
## 2422 2016-05-05 54000 46-55ys 5 ['web', 'email'] 20
## 2423 2016-07-22 38000 66-75ys 5 ['web', 'email'] 20
## 2424 2018-03-28 88000 76-85ys 5 ['web', 'email'] 20
## 2425 2018-02-06 85000 56-65ys 5 ['web', 'email'] 20
## 2426 2017-05-12 64000 18-25ys 5 ['web', 'email'] 20
## 2427 2016-09-08 79000 76-85ys 5 ['web', 'email'] 20
## 2428 2016-06-19 97000 56-65ys 5 ['web', 'email'] 20
## 2429 2015-09-20 54000 26-35ys 5 ['web', 'email'] 20
## 2430 2018-02-26 35000 56-65ys 5 ['web', 'email'] 20
## 2431 2015-12-14 83000 46-55ys 5 ['web', 'email'] 20
## 2432 2014-04-24 33000 36-45ys 5 ['web', 'email'] 20
## 2433 2017-08-25 35000 56-65ys 5 ['web', 'email'] 20
## 2434 2017-12-08 74000 66-75ys 5 ['web', 'email'] 20
## 2435 2016-07-04 100000 46-55ys 5 ['web', 'email'] 20
## 2436 2016-05-22 81000 56-65ys 5 ['web', 'email'] 20
## 2437 2016-02-15 103000 56-65ys 5 ['web', 'email'] 20
## 2438 2015-12-14 83000 46-55ys 5 ['web', 'email'] 20
## 2439 2017-02-20 59000 46-55ys 5 ['web', 'email'] 20
## 2440 2015-12-14 83000 46-55ys 5 ['web', 'email'] 20
## 2441 2018-02-17 39000 56-65ys 5 ['web', 'email'] 20
## 2442 2017-09-20 73000 26-35ys 5 ['web', 'email'] 20
## 2443 2016-08-19 70000 66-75ys 5 ['web', 'email'] 20
## 2444 2015-10-02 36000 26-35ys 5 ['web', 'email'] 20
## 2445 2018-05-22 49000 46-55ys 5 ['web', 'email'] 20
## 2446 2018-03-25 94000 66-75ys 5 ['web', 'email'] 20
## 2447 2016-08-13 40000 56-65ys 5 ['web', 'email'] 20
## 2448 2017-02-12 57000 46-55ys 5 ['web', 'email'] 20
## 2449 2018-06-14 63000 > 86ys 5 ['web', 'email'] 20
## 2450 2018-01-23 55000 56-65ys 5 ['web', 'email'] 20
## 2451 2016-09-03 59000 56-65ys 5 ['web', 'email'] 20
## 2452 2018-07-04 42000 46-55ys 5 ['web', 'email'] 20
## 2453 2016-08-23 100000 46-55ys 5 ['web', 'email'] 20
## 2454 2018-06-30 53000 66-75ys 5 ['web', 'email'] 20
## 2455 2017-08-15 86000 56-65ys 5 ['web', 'email'] 20
## 2456 2017-07-01 74000 56-65ys 5 ['web', 'email'] 20
## 2457 2018-03-17 53000 46-55ys 5 ['web', 'email'] 20
## 2458 2018-06-29 36000 56-65ys 5 ['web', 'email'] 20
## 2459 2017-12-12 75000 36-45ys 5 ['web', 'email'] 20
## 2460 2018-07-10 74000 76-85ys 5 ['web', 'email'] 20
## 2461 2018-06-13 74000 76-85ys 5 ['web', 'email'] 20
## 2462 2017-07-10 69000 56-65ys 5 ['web', 'email'] 20
## 2463 2017-10-31 77000 56-65ys 5 ['web', 'email'] 20
## 2464 2017-05-17 74000 56-65ys 5 ['web', 'email'] 20
## 2465 2015-12-29 95000 66-75ys 5 ['web', 'email'] 20
## 2466 2018-06-29 36000 56-65ys 5 ['web', 'email'] 20
## 2467 2015-10-27 74000 36-45ys 5 ['web', 'email'] 20
## 2468 2016-02-14 48000 46-55ys 5 ['web', 'email'] 20
## 2469 2017-04-29 55000 56-65ys 5 ['web', 'email'] 20
## 2470 2017-06-04 85000 46-55ys 5 ['web', 'email'] 20
## 2471 2017-12-28 41000 26-35ys 5 ['web', 'email'] 20
## 2472 2016-03-16 79000 56-65ys 5 ['web', 'email'] 20
## 2473 2017-09-19 33000 26-35ys 5 ['web', 'email'] 20
## 2474 2017-07-26 32000 26-35ys 5 ['web', 'email'] 20
## 2475 2017-11-23 100000 56-65ys 5 ['web', 'email'] 20
## 2476 2015-10-10 40000 46-55ys 5 ['web', 'email'] 20
## 2477 2017-08-06 81000 36-45ys 5 ['web', 'email'] 20
## 2478 2014-04-26 51000 66-75ys 5 ['web', 'email'] 20
## 2479 2018-05-06 55000 46-55ys 5 ['web', 'email'] 20
## 2480 2016-06-13 106000 76-85ys 5 ['web', 'email'] 20
## 2481 2015-12-29 95000 66-75ys 5 ['web', 'email'] 20
## 2482 2016-09-03 59000 56-65ys 5 ['web', 'email'] 20
## 2483 2018-04-02 65000 18-25ys 5 ['web', 'email'] 20
## 2484 2017-11-19 51000 36-45ys 5 ['web', 'email'] 20
## 2485 2017-11-23 100000 56-65ys 5 ['web', 'email'] 20
## 2486 2015-07-14 96000 66-75ys 5 ['web', 'email'] 20
## 2487 2014-11-02 62000 66-75ys 5 ['web', 'email'] 20
## 2488 2016-03-07 34000 46-55ys 5 ['web', 'email'] 20
## 2489 2017-09-11 98000 66-75ys 5 ['web', 'email'] 20
## 2490 2018-03-21 76000 56-65ys 5 ['web', 'email'] 20
## 2491 2016-03-02 99000 66-75ys 5 ['web', 'email'] 20
## 2492 2017-06-28 79000 46-55ys 5 ['web', 'email'] 20
## 2493 2017-05-03 66000 26-35ys 5 ['web', 'email'] 20
## 2494 2017-08-01 58000 46-55ys 5 ['web', 'email'] 20
## 2495 2015-10-13 61000 66-75ys 5 ['web', 'email'] 20
## 2496 2018-05-22 60000 46-55ys 5 ['web', 'email'] 20
## 2497 2018-06-11 35000 18-25ys 5 ['web', 'email'] 20
## 2498 2018-06-08 35000 18-25ys 5 ['web', 'email'] 20
## 2499 2016-04-12 79000 56-65ys 5 ['web', 'email'] 20
## 2500 2016-07-10 98000 56-65ys 5 ['web', 'email'] 20
## 2501 2016-04-24 72000 56-65ys 5 ['web', 'email'] 20
## 2502 2017-06-19 83000 46-55ys 5 ['web', 'email'] 20
## 2503 2016-11-13 77000 46-55ys 5 ['web', 'email'] 20
## 2504 2017-04-11 71000 36-45ys 5 ['web', 'email'] 20
## 2505 2018-06-13 102000 66-75ys 5 ['web', 'email'] 20
## 2506 2018-05-08 56000 18-25ys 5 ['web', 'email'] 20
## 2507 2017-07-26 95000 > 86ys 5 ['web', 'email'] 20
## 2508 2016-05-11 39000 18-25ys 5 ['web', 'email'] 20
## 2509 2016-12-30 82000 56-65ys 5 ['web', 'email'] 20
## 2510 2016-11-13 77000 46-55ys 5 ['web', 'email'] 20
## 2511 2018-05-02 81000 76-85ys 5 ['web', 'email'] 20
## 2512 2018-01-26 58000 46-55ys 5 ['web', 'email'] 20
## 2513 2018-02-05 53000 36-45ys 5 ['web', 'email'] 20
## 2514 2015-08-06 55000 56-65ys 5 ['web', 'email'] 20
## 2515 2016-09-21 54000 36-45ys 5 ['web', 'email'] 20
## 2516 2017-12-25 45000 18-25ys 5 ['web', 'email'] 20
## 2517 2018-07-08 61000 26-35ys 5 ['web', 'email'] 20
## 2518 2017-02-01 72000 46-55ys 5 ['web', 'email'] 20
## 2519 2017-11-02 99000 56-65ys 5 ['web', 'email'] 20
## 2520 2017-05-24 66000 66-75ys 5 ['web', 'email'] 20
## 2521 2017-03-08 70000 66-75ys 5 ['web', 'email'] 20
## 2522 2017-08-29 82000 56-65ys 5 ['web', 'email'] 20
## 2523 2016-08-16 57000 76-85ys 5 ['web', 'email'] 20
## 2524 2017-12-14 75000 66-75ys 5 ['web', 'email'] 20
## 2525 2017-10-28 37000 56-65ys 5 ['web', 'email'] 20
## 2526 2017-11-01 55000 46-55ys 5 ['web', 'email'] 20
## 2527 2018-02-11 77000 46-55ys 5 ['web', 'email'] 20
## 2528 2015-04-20 74000 26-35ys 5 ['web', 'email'] 20
## 2529 2017-03-02 103000 46-55ys 5 ['web', 'email'] 20
## 2530 2017-04-05 77000 46-55ys 5 ['web', 'email'] 20
## 2531 2017-02-12 61000 18-25ys 5 ['web', 'email'] 20
## 2532 2018-01-23 90000 46-55ys 5 ['web', 'email'] 20
## 2533 2016-07-18 33000 66-75ys 5 ['web', 'email'] 20
## 2534 2018-01-30 67000 46-55ys 5 ['web', 'email'] 20
## 2535 2017-02-20 35000 18-25ys 5 ['web', 'email'] 20
## 2536 2017-12-27 66000 18-25ys 5 ['web', 'email'] 20
## 2537 2016-06-30 69000 36-45ys 5 ['web', 'email'] 20
## 2538 2017-07-24 44000 18-25ys 5 ['web', 'email'] 20
## 2539 2016-01-01 69000 36-45ys 5 ['web', 'email'] 20
## 2540 2015-08-16 60000 36-45ys 5 ['web', 'email'] 20
## 2541 2016-03-25 88000 46-55ys 5 ['web', 'email'] 20
## 2542 2017-10-22 92000 66-75ys 5 ['web', 'email'] 20
## 2543 2018-05-18 72000 36-45ys 5 ['web', 'email'] 20
## 2544 2017-06-30 79000 66-75ys 5 ['web', 'email'] 20
## 2545 2018-02-23 52000 36-45ys 5 ['web', 'email'] 20
## 2546 2017-10-06 39000 66-75ys 5 ['web', 'email'] 20
## 2547 2018-05-23 39000 66-75ys 5 ['web', 'email'] 20
## 2548 2017-11-27 82000 > 86ys 5 ['web', 'email'] 20
## 2549 2018-03-23 85000 66-75ys 5 ['web', 'email'] 20
## 2550 2015-10-30 74000 66-75ys 5 ['web', 'email'] 20
## 2551 2017-12-18 57000 66-75ys 5 ['web', 'email'] 20
## 2552 2018-03-06 76000 66-75ys 5 ['web', 'email'] 20
## 2553 2017-04-08 97000 46-55ys 5 ['web', 'email'] 20
## 2554 2018-06-10 71000 26-35ys 5 ['web', 'email'] 20
## 2555 2016-07-29 95000 56-65ys 5 ['web', 'email'] 20
## 2556 2016-09-15 88000 46-55ys 5 ['web', 'email'] 20
## 2557 2018-05-27 73000 46-55ys 5 ['web', 'email'] 20
## 2558 2018-02-26 53000 46-55ys 5 ['web', 'email'] 20
## 2559 2014-02-03 92000 66-75ys 5 ['web', 'email'] 20
## 2560 2017-12-24 58000 46-55ys 5 ['web', 'email'] 20
## 2561 2018-03-07 57000 46-55ys 5 ['web', 'email'] 20
## 2562 2017-02-04 44000 26-35ys 5 ['web', 'email'] 20
## 2563 2017-12-18 57000 66-75ys 5 ['web', 'email'] 20
## 2564 2016-12-24 67000 56-65ys 5 ['web', 'email'] 20
## 2565 2017-11-30 50000 66-75ys 5 ['web', 'email'] 20
## 2566 2017-05-12 63000 46-55ys 5 ['web', 'email'] 20
## 2567 2018-01-30 77000 46-55ys 5 ['web', 'email'] 20
## 2568 2018-03-19 48000 36-45ys 5 ['web', 'email'] 20
## 2569 2017-09-24 55000 36-45ys 5 ['web', 'email'] 20
## 2570 2017-04-18 95000 46-55ys 5 ['web', 'email'] 20
## 2571 2018-03-28 64000 46-55ys 5 ['web', 'email'] 20
## 2572 2015-10-22 84000 66-75ys 5 ['web', 'email'] 20
## 2573 2018-03-07 103000 56-65ys 5 ['web', 'email'] 20
## 2574 2018-01-20 40000 66-75ys 5 ['web', 'email'] 20
## 2575 2016-06-26 69000 18-25ys 5 ['web', 'email'] 20
## 2576 2017-06-06 79000 46-55ys 5 ['web', 'email'] 20
## 2577 2018-06-20 58000 36-45ys 5 ['web', 'email'] 20
## 2578 2016-05-08 76000 56-65ys 5 ['web', 'email'] 20
## 2579 2018-07-13 64000 18-25ys 5 ['web', 'email'] 20
## 2580 2017-08-10 63000 56-65ys 5 ['web', 'email'] 20
## 2581 2016-06-05 54000 56-65ys 5 ['web', 'email'] 20
## 2582 2016-08-02 112000 46-55ys 5 ['web', 'email'] 20
## 2583 2017-04-20 55000 46-55ys 5 ['web', 'email'] 20
## 2584 2018-05-23 58000 76-85ys 5 ['web', 'email'] 20
## 2585 2016-01-03 47000 76-85ys 5 ['web', 'email'] 20
## 2586 2017-12-22 64000 18-25ys 5 ['web', 'email'] 20
## 2587 2016-11-21 65000 46-55ys 5 ['web', 'email'] 20
## 2588 2018-01-14 59000 18-25ys 5 ['web', 'email'] 20
## 2589 2017-10-15 66000 66-75ys 5 ['web', 'email'] 20
## 2590 2018-06-04 64000 66-75ys 5 ['web', 'email'] 20
## 2591 2017-10-22 112000 56-65ys 5 ['web', 'email'] 20
## 2592 2015-09-06 103000 56-65ys 5 ['web', 'email'] 20
## 2593 2017-09-20 41000 26-35ys 5 ['web', 'email'] 20
## 2594 2017-12-29 81000 66-75ys 5 ['web', 'email'] 20
## 2595 2016-09-08 46000 36-45ys 5 ['web', 'email'] 20
## 2596 2017-08-01 61000 36-45ys 5 ['web', 'email'] 20
## 2597 2015-08-27 94000 76-85ys 5 ['web', 'email'] 20
## 2598 2018-06-04 64000 66-75ys 5 ['web', 'email'] 20
## 2599 2015-12-15 38000 56-65ys 5 ['web', 'email'] 20
## 2600 2017-06-27 105000 56-65ys 5 ['web', 'email'] 20
## 2601 2018-07-13 38000 36-45ys 5 ['web', 'email'] 20
## 2602 2014-05-06 92000 66-75ys 5 ['web', 'email'] 20
## 2603 2017-07-25 92000 56-65ys 5 ['web', 'email'] 20
## 2604 2017-12-23 37000 46-55ys 5 ['web', 'email'] 20
## 2605 2016-07-25 84000 46-55ys 5 ['web', 'email'] 20
## 2606 2017-09-30 97000 46-55ys 5 ['web', 'email'] 20
## 2607 2018-04-24 73000 46-55ys 5 ['web', 'email'] 20
## 2608 2018-03-24 33000 36-45ys 5 ['web', 'email'] 20
## 2609 2018-04-01 70000 46-55ys 5 ['web', 'email'] 20
## 2610 2014-03-24 65000 36-45ys 5 ['web', 'email'] 20
## 2611 2018-03-17 60000 56-65ys 5 ['web', 'email'] 20
## 2612 2018-05-18 58000 36-45ys 5 ['web', 'email'] 20
## 2613 2016-08-09 71000 56-65ys 5 ['web', 'email'] 20
## 2614 2018-04-24 73000 46-55ys 5 ['web', 'email'] 20
## 2615 2018-01-02 83000 46-55ys 5 ['web', 'email'] 20
## 2616 2016-10-30 41000 > 86ys 5 ['web', 'email'] 20
## 2617 2016-04-07 64000 56-65ys 5 ['web', 'email'] 20
## 2618 2018-06-14 80000 66-75ys 5 ['web', 'email'] 20
## 2619 2018-03-19 51000 26-35ys 5 ['web', 'email'] 20
## 2620 2017-10-25 51000 26-35ys 5 ['web', 'email'] 20
## 2621 2018-03-19 51000 26-35ys 5 ['web', 'email'] 20
## 2622 2016-08-01 115000 76-85ys 5 ['web', 'email'] 20
## 2623 2017-09-27 54000 18-25ys 5 ['web', 'email'] 20
## 2624 2015-02-01 35000 36-45ys 5 ['web', 'email'] 20
## 2625 2017-11-20 94000 56-65ys 5 ['web', 'email'] 20
## 2626 2017-04-16 42000 46-55ys 5 ['web', 'email'] 20
## 2627 2015-08-28 117000 46-55ys 5 ['web', 'email'] 20
## 2628 2018-06-17 43000 66-75ys 5 ['web', 'email'] 20
## 2629 2016-10-09 72000 46-55ys 5 ['web', 'email'] 20
## 2630 2016-07-12 73000 46-55ys 5 ['web', 'email'] 20
## 2631 2015-05-14 41000 36-45ys 5 ['web', 'email'] 20
## 2632 2016-07-07 102000 56-65ys 5 ['web', 'email'] 20
## 2633 2015-12-31 99000 76-85ys 5 ['web', 'email'] 20
## 2634 2015-10-25 60000 46-55ys 5 ['web', 'email'] 20
## 2635 2018-03-08 40000 36-45ys 5 ['web', 'email'] 20
## 2636 2016-05-24 89000 56-65ys 5 ['web', 'email'] 20
## 2637 2015-10-25 46000 66-75ys 5 ['web', 'email'] 20
## 2638 2018-04-26 45000 36-45ys 5 ['web', 'email'] 20
## 2639 2013-12-15 96000 56-65ys 5 ['web', 'email'] 20
## 2640 2017-04-13 52000 76-85ys 5 ['web', 'email'] 20
## 2641 2017-05-26 57000 56-65ys 5 ['web', 'email'] 20
## 2642 2017-09-11 94000 > 86ys 5 ['web', 'email'] 20
## 2643 2016-03-28 37000 56-65ys 5 ['web', 'email'] 20
## 2644 2016-08-12 68000 56-65ys 5 ['web', 'email'] 20
## 2645 2017-08-08 74000 > 86ys 5 ['web', 'email'] 20
## 2646 2018-02-07 53000 18-25ys 5 ['web', 'email'] 20
## 2647 2017-07-13 55000 76-85ys 5 ['web', 'email'] 20
## 2648 2018-05-07 36000 56-65ys 5 ['web', 'email'] 20
## 2649 2017-12-07 60000 18-25ys 5 ['web', 'email'] 20
## 2650 2017-11-28 72000 > 86ys 5 ['web', 'email'] 20
## 2651 2016-04-06 67000 46-55ys 5 ['web', 'email'] 20
## 2652 2017-11-23 67000 36-45ys 5 ['web', 'email'] 20
## 2653 2016-07-22 109000 46-55ys 5 ['web', 'email'] 20
## 2654 2017-12-21 54000 36-45ys 5 ['web', 'email'] 20
## 2655 2018-05-13 69000 66-75ys 5 ['web', 'email'] 20
## 2656 2016-11-05 44000 36-45ys 5 ['web', 'email'] 20
## 2657 2016-09-01 96000 46-55ys 5 ['web', 'email'] 20
## 2658 2017-08-06 76000 36-45ys 5 ['web', 'email'] 20
## 2659 2018-06-28 38000 18-25ys 5 ['web', 'email'] 20
## 2660 2016-10-17 69000 36-45ys 5 ['web', 'email'] 20
## 2661 2018-02-25 36000 46-55ys 5 ['web', 'email'] 20
## 2662 2018-03-02 73000 26-35ys 5 ['web', 'email'] 20
## 2663 2015-12-11 52000 66-75ys 5 ['web', 'email'] 20
## 2664 2014-07-24 77000 46-55ys 5 ['web', 'email'] 20
## 2665 2016-11-24 74000 18-25ys 5 ['web', 'email'] 20
## 2666 2014-05-01 42000 18-25ys 5 ['web', 'email'] 20
## 2667 2016-04-17 45000 66-75ys 5 ['web', 'email'] 20
## 2668 2018-03-07 89000 56-65ys 5 ['web', 'email'] 20
## 2669 2017-04-27 71000 36-45ys 5 ['web', 'email'] 20
## 2670 2018-04-20 52000 46-55ys 5 ['web', 'email'] 20
## 2671 2018-06-06 37000 46-55ys 5 ['web', 'email'] 20
## 2672 2018-07-22 61000 36-45ys 5 ['web', 'email'] 20
## 2673 2018-04-14 64000 56-65ys 5 ['web', 'email'] 20
## 2674 2017-11-23 53000 18-25ys 5 ['web', 'email'] 20
## 2675 2018-05-06 31000 26-35ys 5 ['web', 'email'] 20
## 2676 2018-05-27 70000 36-45ys 5 ['web', 'email'] 20
## 2677 2016-09-12 69000 46-55ys 5 ['web', 'email'] 20
## 2678 2016-06-13 33000 > 86ys 5 ['web', 'email'] 20
## 2679 2018-07-06 96000 46-55ys 5 ['web', 'email'] 20
## 2680 2016-09-23 57000 46-55ys 5 ['web', 'email'] 20
## 2681 2016-08-29 60000 36-45ys 5 ['web', 'email'] 20
## 2682 2017-12-09 83000 46-55ys 5 ['web', 'email'] 20
## 2683 2018-02-16 51000 46-55ys 5 ['web', 'email'] 20
## 2684 2018-07-22 63000 66-75ys 5 ['web', 'email'] 20
## 2685 2017-01-08 86000 66-75ys 5 ['web', 'email'] 20
## 2686 2016-11-25 97000 66-75ys 5 ['web', 'email'] 20
## 2687 2017-09-16 53000 56-65ys 5 ['web', 'email'] 20
## 2688 2017-12-02 54000 18-25ys 5 ['web', 'email'] 20
## 2689 2018-04-14 54000 56-65ys 5 ['web', 'email'] 20
## 2690 2017-01-30 120000 56-65ys 5 ['web', 'email'] 20
## 2691 2016-10-28 33000 66-75ys 5 ['web', 'email'] 20
## 2692 2017-11-06 32000 36-45ys 5 ['web', 'email'] 20
## 2693 2016-07-22 74000 46-55ys 5 ['web', 'email'] 20
## 2694 2016-02-19 80000 76-85ys 5 ['web', 'email'] 20
## 2695 2015-06-23 92000 56-65ys 5 ['web', 'email'] 20
## 2696 2016-06-13 33000 > 86ys 5 ['web', 'email'] 20
## 2697 2017-12-31 36000 56-65ys 5 ['web', 'email'] 20
## 2698 2017-04-28 34000 56-65ys 5 ['web', 'email'] 20
## 2699 2016-07-22 74000 46-55ys 5 ['web', 'email'] 20
## 2700 2018-05-29 73000 18-25ys 5 ['web', 'email'] 20
## 2701 2015-08-31 43000 > 86ys 5 ['web', 'email'] 20
## 2702 2017-10-18 73000 56-65ys 5 ['web', 'email'] 20
## 2703 2015-08-09 75000 76-85ys 5 ['web', 'email'] 20
## 2704 2017-12-08 40000 36-45ys 5 ['web', 'email'] 20
## 2705 2018-07-20 62000 56-65ys 5 ['web', 'email'] 20
## 2706 2018-05-16 36000 26-35ys 5 ['web', 'email'] 20
## 2707 2017-10-23 46000 26-35ys 5 ['web', 'email'] 20
## 2708 2015-04-04 65000 66-75ys 5 ['web', 'email'] 20
## 2709 2015-12-28 101000 76-85ys 5 ['web', 'email'] 20
## 2710 2015-12-11 55000 46-55ys 5 ['web', 'email'] 20
## 2711 2018-01-01 107000 76-85ys 5 ['web', 'email'] 20
## 2712 2017-09-26 63000 36-45ys 5 ['web', 'email'] 20
## 2713 2017-04-23 77000 36-45ys 5 ['web', 'email'] 20
## 2714 2018-02-20 54000 36-45ys 5 ['web', 'email'] 20
## 2715 2018-07-25 103000 76-85ys 5 ['web', 'email'] 20
## 2716 2014-01-17 60000 56-65ys 5 ['web', 'email'] 20
## 2717 2017-10-11 74000 26-35ys 5 ['web', 'email'] 20
## 2718 2018-02-08 79000 46-55ys 5 ['web', 'email'] 20
## 2719 2017-07-20 104000 56-65ys 5 ['web', 'email'] 20
## 2720 2014-05-06 70000 46-55ys 5 ['web', 'email'] 20
## 2721 2016-08-04 52000 56-65ys 5 ['web', 'email'] 20
## 2722 2015-12-14 70000 36-45ys 5 ['web', 'email'] 20
## 2723 2017-12-01 51000 26-35ys 5 ['web', 'email'] 20
## 2724 2016-01-10 116000 46-55ys 5 ['web', 'email'] 20
## 2725 2016-01-19 77000 76-85ys 5 ['web', 'email'] 20
## 2726 2015-11-19 53000 26-35ys 5 ['web', 'email'] 20
## 2727 2015-08-29 86000 > 86ys 5 ['web', 'email'] 20
## 2728 2016-04-28 110000 46-55ys 5 ['web', 'email'] 20
## 2729 2017-05-22 37000 66-75ys 5 ['web', 'email'] 20
## 2730 2017-08-13 75000 56-65ys 5 ['web', 'email'] 20
## 2731 2017-06-10 71000 46-55ys 5 ['web', 'email'] 20
## 2732 2018-01-18 74000 56-65ys 5 ['web', 'email'] 20
## 2733 2016-01-23 90000 66-75ys 5 ['web', 'email'] 20
## 2734 2016-10-26 68000 66-75ys 5 ['web', 'email'] 20
## 2735 2016-04-16 116000 76-85ys 5 ['web', 'email'] 20
## 2736 2017-12-27 69000 56-65ys 5 ['web', 'email'] 20
## 2737 2015-06-27 68000 18-25ys 5 ['web', 'email'] 20
## 2738 2017-04-15 80000 56-65ys 5 ['web', 'email'] 20
## 2739 2013-08-15 66000 66-75ys 5 ['web', 'email'] 20
## 2740 2018-03-30 96000 46-55ys 5 ['web', 'email'] 20
## 2741 2017-11-18 51000 36-45ys 5 ['web', 'email'] 20
## 2742 2017-01-31 43000 56-65ys 5 ['web', 'email'] 20
## 2743 2017-10-20 112000 56-65ys 5 ['web', 'email'] 20
## 2744 2017-01-20 37000 76-85ys 5 ['web', 'email'] 20
## 2745 2017-08-05 73000 56-65ys 5 ['web', 'email'] 20
## 2746 2017-11-09 65000 56-65ys 5 ['web', 'email'] 20
## 2747 2018-07-24 76000 66-75ys 5 ['web', 'email'] 20
## 2748 2017-11-14 87000 > 86ys 5 ['web', 'email'] 20
## 2749 2015-08-16 79000 56-65ys 5 ['web', 'email'] 20
## 2750 2015-05-02 68000 56-65ys 5 ['web', 'email'] 20
## 2751 2017-11-09 65000 56-65ys 5 ['web', 'email'] 20
## 2752 2017-09-27 52000 > 86ys 5 ['web', 'email'] 20
## 2753 2018-02-12 87000 46-55ys 5 ['web', 'email'] 20
## 2754 2017-10-11 118000 66-75ys 5 ['web', 'email'] 20
## 2755 2018-02-21 89000 46-55ys 5 ['web', 'email'] 20
## 2756 2018-03-22 71000 46-55ys 5 ['web', 'email'] 20
## 2757 2017-11-21 69000 66-75ys 5 ['web', 'email'] 20
## 2758 2017-08-28 68000 46-55ys 5 ['web', 'email'] 20
## 2759 2018-07-25 72000 66-75ys 5 ['web', 'email'] 20
## 2760 2016-05-14 112000 56-65ys 5 ['web', 'email'] 20
## 2761 2016-11-18 71000 26-35ys 5 ['web', 'email'] 20
## 2762 2016-02-11 111000 56-65ys 5 ['web', 'email'] 20
## 2763 2013-08-11 31000 66-75ys 5 ['web', 'email'] 20
## 2764 2017-08-11 35000 46-55ys 5 ['web', 'email'] 20
## 2765 2015-04-27 46000 46-55ys 5 ['web', 'email'] 20
## 2766 2017-12-07 119000 56-65ys 5 ['web', 'email'] 20
## 2767 2013-10-07 54000 46-55ys 5 ['web', 'email'] 20
## 2768 2017-08-06 113000 56-65ys 5 ['web', 'email'] 20
## 2769 2016-08-20 99000 56-65ys 5 ['web', 'email'] 20
## 2770 2016-04-10 66000 56-65ys 5 ['web', 'email'] 20
## 2771 2016-07-11 41000 18-25ys 5 ['web', 'email'] 20
## 2772 2017-06-14 69000 46-55ys 5 ['web', 'email'] 20
## 2773 2017-07-28 83000 46-55ys 5 ['web', 'email'] 20
## 2774 2017-12-07 94000 76-85ys 5 ['web', 'email'] 20
## 2775 2017-10-21 110000 56-65ys 5 ['web', 'email'] 20
## 2776 2014-07-18 48000 76-85ys 5 ['web', 'email'] 20
## 2777 2016-03-23 91000 56-65ys 5 ['web', 'email'] 20
## 2778 2017-04-03 74000 56-65ys 5 ['web', 'email'] 20
## 2779 2015-07-29 58000 36-45ys 5 ['web', 'email'] 20
## 2780 2018-02-25 92000 56-65ys 5 ['web', 'email'] 20
## 2781 2015-10-01 50000 56-65ys 5 ['web', 'email'] 20
## 2782 2017-10-19 58000 36-45ys 5 ['web', 'email'] 20
## 2783 2017-11-21 85000 66-75ys 5 ['web', 'email'] 20
## 2784 2015-11-03 53000 18-25ys 5 ['web', 'email'] 20
## 2785 2017-11-01 100000 36-45ys 5 ['web', 'email'] 20
## 2786 2018-05-24 85000 56-65ys 5 ['web', 'email'] 20
## 2787 2018-07-25 96000 76-85ys 5 ['web', 'email'] 20
## 2788 2017-10-25 40000 > 86ys 5 ['web', 'email'] 20
## 2789 2014-05-21 38000 36-45ys 5 ['web', 'email'] 20
## 2790 2017-03-28 32000 66-75ys 5 ['web', 'email'] 20
## 2791 2017-02-12 52000 66-75ys 5 ['web', 'email'] 20
## 2792 2017-11-16 106000 46-55ys 5 ['web', 'email'] 20
## 2793 2015-11-18 68000 18-25ys 5 ['web', 'email'] 20
## 2794 2016-10-14 76000 56-65ys 5 ['web', 'email'] 20
## 2795 2016-12-08 111000 66-75ys 5 ['web', 'email'] 20
## 2796 2017-07-26 70000 36-45ys 5 ['web', 'email'] 20
## 2797 2016-04-15 115000 56-65ys 5 ['web', 'email'] 20
## 2798 2014-10-11 66000 76-85ys 5 ['web', 'email'] 20
## 2799 2018-03-28 61000 56-65ys 5 ['web', 'email'] 20
## 2800 2018-02-09 70000 76-85ys 5 ['web', 'email'] 20
## 2801 2016-07-31 84000 66-75ys 5 ['web', 'email'] 20
## 2802 2015-12-09 66000 56-65ys 5 ['web', 'email'] 20
## 2803 2015-11-22 46000 36-45ys 5 ['web', 'email'] 20
## 2804 2016-11-03 45000 46-55ys 5 ['web', 'email'] 20
## 2805 2018-02-09 70000 76-85ys 5 ['web', 'email'] 20
## 2806 2014-04-01 42000 18-25ys 5 ['web', 'email'] 20
## 2807 2016-12-21 56000 56-65ys 5 ['web', 'email'] 20
## 2808 2017-10-13 88000 56-65ys 5 ['web', 'email'] 20
## 2809 2017-11-02 56000 36-45ys 5 ['web', 'email'] 20
## 2810 2014-11-13 52000 46-55ys 5 ['web', 'email'] 20
## 2811 2017-07-19 80000 56-65ys 5 ['web', 'email'] 20
## 2812 2017-07-19 80000 56-65ys 5 ['web', 'email'] 20
## 2813 2017-04-09 100000 76-85ys 5 ['web', 'email'] 20
## 2814 2017-11-09 53000 46-55ys 5 ['web', 'email'] 20
## 2815 2015-07-28 113000 46-55ys 5 ['web', 'email'] 20
## 2816 2017-09-22 70000 36-45ys 5 ['web', 'email'] 20
## 2817 2017-09-24 60000 26-35ys 5 ['web', 'email'] 20
## 2818 2017-07-12 78000 66-75ys 5 ['web', 'email'] 20
## 2819 2017-05-17 75000 56-65ys 5 ['web', 'email'] 20
## 2820 2017-01-16 33000 56-65ys 5 ['web', 'email'] 20
## 2821 2017-09-21 80000 76-85ys 5 ['web', 'email'] 20
## 2822 2017-09-29 54000 46-55ys 5 ['web', 'email'] 20
## 2823 2017-10-14 83000 56-65ys 5 ['web', 'email'] 20
## 2824 2017-10-23 54000 76-85ys 5 ['web', 'email'] 20
## 2825 2017-09-21 80000 76-85ys 5 ['web', 'email'] 20
## 2826 2017-10-01 31000 76-85ys 5 ['web', 'email'] 20
## 2827 2015-12-29 95000 66-75ys 5 ['web', 'email'] 20
## 2828 2018-01-04 54000 46-55ys 5 ['web', 'email'] 20
## 2829 2016-07-27 44000 26-35ys 5 ['web', 'email'] 20
## 2830 2016-09-28 33000 76-85ys 5 ['web', 'email'] 20
## 2831 2018-07-24 56000 36-45ys 5 ['web', 'email'] 20
## 2832 2016-01-13 44000 76-85ys 5 ['web', 'email'] 20
## 2833 2017-12-15 60000 > 86ys 5 ['web', 'email'] 20
## 2834 2017-08-19 115000 76-85ys 5 ['web', 'email'] 20
## 2835 2018-03-14 47000 66-75ys 5 ['web', 'email'] 20
## 2836 2017-12-07 62000 46-55ys 5 ['web', 'email'] 20
## 2837 2017-09-15 36000 56-65ys 5 ['web', 'email'] 20
## 2838 2015-08-15 49000 46-55ys 5 ['web', 'email'] 20
## 2839 2017-09-20 49000 56-65ys 5 ['web', 'email'] 20
## 2840 2015-08-04 86000 66-75ys 5 ['web', 'email'] 20
## 2841 2016-01-02 30000 56-65ys 5 ['web', 'email'] 20
## 2842 2017-10-21 49000 18-25ys 5 ['web', 'email'] 20
## 2843 2018-04-06 68000 46-55ys 5 ['web', 'email'] 20
## 2844 2017-02-26 75000 26-35ys 5 ['web', 'email'] 20
## 2845 2017-12-21 97000 56-65ys 5 ['web', 'email'] 20
## 2846 2017-10-02 72000 46-55ys 5 ['web', 'email'] 20
## 2847 2017-02-26 54000 36-45ys 5 ['web', 'email'] 20
## 2848 2017-08-19 49000 66-75ys 5 ['web', 'email'] 20
## 2849 2016-07-07 55000 46-55ys 5 ['web', 'email'] 20
## 2850 2018-01-22 48000 26-35ys 5 ['web', 'email'] 20
## 2851 2018-03-11 33000 18-25ys 5 ['web', 'email'] 20
## 2852 2017-10-27 109000 66-75ys 5 ['web', 'email'] 20
## 2853 2016-09-06 81000 56-65ys 5 ['web', 'email'] 20
## 2854 2017-12-13 56000 46-55ys 5 ['web', 'email'] 20
## 2855 2018-07-09 93000 66-75ys 5 ['web', 'email'] 20
## 2856 2015-09-15 88000 56-65ys 5 ['web', 'email'] 20
## 2857 2016-05-15 59000 66-75ys 5 ['web', 'email'] 20
## 2858 2017-09-12 71000 56-65ys 5 ['web', 'email'] 20
## 2859 2017-01-29 77000 56-65ys 5 ['web', 'email'] 20
## 2860 2016-09-06 81000 56-65ys 5 ['web', 'email'] 20
## 2861 2016-10-01 61000 56-65ys 5 ['web', 'email'] 20
## 2862 2017-05-03 66000 26-35ys 5 ['web', 'email'] 20
## 2863 2018-01-26 99000 66-75ys 5 ['web', 'email'] 20
## 2864 2017-12-22 90000 56-65ys 5 ['web', 'email'] 20
## 2865 2017-06-28 79000 46-55ys 5 ['web', 'email'] 20
## 2866 2014-07-17 85000 66-75ys 5 ['web', 'email'] 20
## 2867 2015-10-27 92000 76-85ys 5 ['web', 'email'] 20
## 2868 2018-01-23 74000 46-55ys 5 ['web', 'email'] 20
## 2869 2017-11-08 72000 46-55ys 5 ['web', 'email'] 20
## 2870 2017-10-07 72000 76-85ys 5 ['web', 'email'] 20
## 2871 2017-06-29 57000 66-75ys 5 ['web', 'email'] 20
## 2872 2017-02-15 110000 56-65ys 5 ['web', 'email'] 20
## 2873 2016-08-02 84000 56-65ys 5 ['web', 'email'] 20
## 2874 2017-11-05 70000 76-85ys 5 ['web', 'email'] 20
## 2875 2017-01-20 60000 66-75ys 5 ['web', 'email'] 20
## 2876 2018-04-30 87000 56-65ys 5 ['web', 'email'] 20
## 2877 2016-09-06 108000 56-65ys 5 ['web', 'email'] 20
## 2878 2017-10-19 53000 26-35ys 5 ['web', 'email'] 20
## 2879 2016-02-14 70000 46-55ys 5 ['web', 'email'] 20
## 2880 2017-08-06 37000 26-35ys 5 ['web', 'email'] 20
## 2881 2017-08-27 45000 26-35ys 5 ['web', 'email'] 20
## 2882 2016-12-21 74000 36-45ys 5 ['web', 'email'] 20
## 2883 2016-08-28 62000 66-75ys 5 ['web', 'email'] 20
## 2884 2017-11-19 34000 26-35ys 5 ['web', 'email'] 20
## 2885 2017-04-13 95000 56-65ys 5 ['web', 'email'] 20
## 2886 2017-11-01 78000 66-75ys 5 ['web', 'email'] 20
## 2887 2016-11-13 77000 46-55ys 5 ['web', 'email'] 20
## 2888 2016-10-20 73000 46-55ys 5 ['web', 'email'] 20
## 2889 2017-10-26 42000 56-65ys 5 ['web', 'email'] 20
## 2890 2018-04-20 44000 18-25ys 5 ['web', 'email'] 20
## 2891 2016-03-21 73000 36-45ys 5 ['web', 'email'] 20
## 2892 2015-09-10 75000 66-75ys 5 ['web', 'email'] 20
## 2893 2016-02-17 56000 56-65ys 5 ['web', 'email'] 20
## 2894 2017-09-30 42000 56-65ys 5 ['web', 'email'] 20
## 2895 2018-07-07 88000 46-55ys 5 ['web', 'email'] 20
## 2896 2017-08-03 105000 66-75ys 5 ['web', 'email'] 20
## 2897 2017-08-30 68000 > 86ys 5 ['web', 'email'] 20
## 2898 2016-09-22 59000 56-65ys 5 ['web', 'email'] 20
## 2899 2018-07-01 36000 66-75ys 5 ['web', 'email'] 20
## 2900 2017-01-23 80000 46-55ys 5 ['web', 'email'] 20
## 2901 2018-02-03 74000 26-35ys 5 ['web', 'email'] 20
## 2902 2017-09-16 72000 46-55ys 5 ['web', 'email'] 20
## 2903 2016-12-17 82000 66-75ys 5 ['web', 'email'] 20
## 2904 2017-05-29 56000 36-45ys 5 ['web', 'email'] 20
## 2905 2016-02-10 34000 56-65ys 5 ['web', 'email'] 20
## 2906 2016-01-01 69000 36-45ys 5 ['web', 'email'] 20
## 2907 2014-11-20 63000 46-55ys 5 ['web', 'email'] 20
## 2908 2017-02-10 37000 56-65ys 5 ['web', 'email'] 20
## 2909 2017-11-21 54000 66-75ys 5 ['web', 'email'] 20
## 2910 2017-08-07 83000 46-55ys 5 ['web', 'email'] 20
## 2911 2018-03-18 57000 56-65ys 5 ['web', 'email'] 20
## 2912 2016-05-13 40000 26-35ys 5 ['web', 'email'] 20
## 2913 2016-04-22 40000 18-25ys 5 ['web', 'email'] 20
## 2914 2017-12-02 35000 46-55ys 5 ['web', 'email'] 20
## 2915 2018-06-16 46000 18-25ys 5 ['web', 'email'] 20
## 2916 2016-09-22 59000 56-65ys 5 ['web', 'email'] 20
## 2917 2016-05-12 94000 76-85ys 5 ['web', 'email'] 20
## 2918 2015-12-07 86000 46-55ys 5 ['web', 'email'] 20
## 2919 2016-03-05 47000 36-45ys 5 ['web', 'email'] 20
## 2920 2014-10-04 50000 36-45ys 5 ['web', 'email'] 20
## 2921 2018-03-22 35000 66-75ys 5 ['web', 'email'] 20
## 2922 2015-10-26 103000 56-65ys 5 ['web', 'email'] 20
## 2923 2017-06-04 79000 56-65ys 5 ['web', 'email'] 20
## 2924 2017-06-04 79000 56-65ys 5 ['web', 'email'] 20
## 2925 2015-11-06 76000 56-65ys 5 ['web', 'email'] 20
## 2926 2017-11-21 49000 26-35ys 5 ['web', 'email'] 20
## 2927 2015-10-06 32000 26-35ys 5 ['web', 'email'] 20
## 2928 2016-07-29 95000 56-65ys 5 ['web', 'email'] 20
## 2929 2016-02-26 102000 66-75ys 5 ['web', 'email'] 20
## 2930 2016-07-29 95000 56-65ys 5 ['web', 'email'] 20
## 2931 2018-04-09 68000 46-55ys 5 ['web', 'email'] 20
## 2932 2016-03-03 48000 26-35ys 5 ['web', 'email'] 20
## 2933 2017-12-24 58000 46-55ys 5 ['web', 'email'] 20
## 2934 2017-08-19 55000 46-55ys 5 ['web', 'email'] 20
## 2935 2015-04-27 69000 18-25ys 5 ['web', 'email'] 20
## 2936 2018-02-26 53000 46-55ys 5 ['web', 'email'] 20
## 2937 2016-06-09 64000 46-55ys 5 ['web', 'email'] 20
## 2938 2016-01-04 51000 36-45ys 5 ['web', 'email'] 20
## 2939 2014-07-17 58000 36-45ys 5 ['web', 'email'] 20
## 2940 2014-01-07 30000 66-75ys 5 ['web', 'email'] 20
## 2941 2016-01-30 115000 56-65ys 5 ['web', 'email'] 20
## 2942 2018-04-17 42000 36-45ys 5 ['web', 'email'] 20
## 2943 2015-11-18 48000 56-65ys 5 ['web', 'email'] 20
## 2944 2017-08-10 63000 56-65ys 5 ['web', 'email'] 20
## 2945 2018-05-23 58000 76-85ys 5 ['web', 'email'] 20
## 2946 2016-11-09 89000 46-55ys 5 ['web', 'email'] 20
## 2947 2018-07-24 52000 36-45ys 5 ['web', 'email'] 20
## 2948 2015-11-21 48000 18-25ys 5 ['web', 'email'] 20
## 2949 2015-03-08 54000 66-75ys 5 ['web', 'email'] 20
## 2950 2015-10-05 79000 56-65ys 5 ['web', 'email'] 20
## 2951 2017-11-30 67000 18-25ys 5 ['web', 'email'] 20
## 2952 2018-04-10 91000 46-55ys 5 ['web', 'email'] 20
## 2953 2018-04-22 73000 56-65ys 5 ['web', 'email'] 20
## 2954 2018-05-04 97000 46-55ys 5 ['web', 'email'] 20
## 2955 2016-05-29 86000 66-75ys 5 ['web', 'email'] 20
## 2956 2017-11-05 51000 66-75ys 5 ['web', 'email'] 20
## 2957 2018-07-07 84000 46-55ys 5 ['web', 'email'] 20
## 2958 2016-01-23 115000 56-65ys 5 ['web', 'email'] 20
## 2959 2018-02-19 93000 56-65ys 5 ['web', 'email'] 20
## 2960 2017-11-09 55000 36-45ys 5 ['web', 'email'] 20
## 2961 2016-05-30 53000 26-35ys 5 ['web', 'email'] 20
## 2962 2015-09-13 51000 36-45ys 5 ['web', 'email'] 20
## 2963 2017-11-09 55000 36-45ys 5 ['web', 'email'] 20
## 2964 2016-03-15 51000 36-45ys 5 ['web', 'email'] 20
## 2965 2018-03-24 33000 36-45ys 5 ['web', 'email'] 20
## 2966 2017-07-04 64000 66-75ys 5 ['web', 'email'] 20
## 2967 2017-08-15 36000 66-75ys 5 ['web', 'email'] 20
## 2968 2015-12-05 92000 56-65ys 5 ['web', 'email'] 20
## 2969 2018-03-26 95000 56-65ys 5 ['web', 'email'] 20
## 2970 2016-10-21 96000 36-45ys 5 ['web', 'email'] 20
## 2971 2017-02-09 43000 46-55ys 5 ['web', 'email'] 20
## 2972 2016-06-07 63000 36-45ys 5 ['web', 'email'] 20
## 2973 2016-10-21 96000 36-45ys 5 ['web', 'email'] 20
## 2974 2017-07-26 71000 26-35ys 5 ['web', 'email'] 20
## 2975 2018-04-01 70000 46-55ys 5 ['web', 'email'] 20
## 2976 2015-09-28 65000 36-45ys 5 ['web', 'email'] 20
## 2977 2016-06-16 96000 56-65ys 5 ['web', 'email'] 20
## 2978 2017-01-28 45000 18-25ys 5 ['web', 'email'] 20
## 2979 2015-07-29 88000 76-85ys 5 ['web', 'email'] 20
## 2980 2018-02-25 80000 46-55ys 5 ['web', 'email'] 20
## 2981 2018-01-21 46000 46-55ys 5 ['web', 'email'] 20
## 2982 2018-01-03 83000 46-55ys 5 ['web', 'email'] 20
## 2983 2016-10-30 41000 > 86ys 5 ['web', 'email'] 20
## 2984 2017-03-02 71000 56-65ys 5 ['web', 'email'] 20
## 2985 2017-10-24 118000 46-55ys 5 ['web', 'email'] 20
## 2986 2015-09-19 88000 66-75ys 5 ['web', 'email'] 20
## 2987 2017-10-07 69000 46-55ys 5 ['web', 'email'] 20
## 2988 2016-01-17 86000 46-55ys 5 ['web', 'email'] 20
## 2989 2017-11-05 66000 46-55ys 5 ['web', 'email'] 20
## 2990 2017-09-14 44000 36-45ys 5 ['web', 'email'] 20
## 2991 2017-01-24 72000 46-55ys 5 ['web', 'email'] 20
## 2992 2017-09-30 73000 26-35ys 5 ['web', 'email'] 20
## 2993 2017-12-11 85000 36-45ys 5 ['web', 'email'] 20
## 2994 2014-12-22 86000 56-65ys 5 ['web', 'email'] 20
## 2995 2017-12-23 62000 46-55ys 5 ['web', 'email'] 20
## 2996 2017-11-06 70000 36-45ys 5 ['web', 'email'] 20
## 2997 2016-03-31 73000 46-55ys 5 ['web', 'email'] 20
## 2998 2016-10-19 114000 56-65ys 5 ['web', 'email'] 20
## 2999 2016-11-29 92000 56-65ys 5 ['web', 'email'] 20
## 3000 2017-12-07 60000 18-25ys 5 ['web', 'email'] 20
## 3001 2017-04-20 61000 66-75ys 5 ['web', 'email'] 20
## 3002 2015-02-26 68000 > 86ys 5 ['web', 'email'] 20
## 3003 2015-08-06 62000 46-55ys 5 ['web', 'email'] 20
## 3004 2015-04-17 52000 66-75ys 5 ['web', 'email'] 20
## 3005 2016-12-29 56000 36-45ys 5 ['web', 'email'] 20
## 3006 2018-06-07 44000 36-45ys 5 ['web', 'email'] 20
## 3007 2015-01-01 74000 46-55ys 5 ['web', 'email'] 20
## 3008 2016-03-27 88000 46-55ys 5 ['web', 'email'] 20
## 3009 2016-06-20 58000 66-75ys 5 ['web', 'email'] 20
## 3010 2015-08-30 76000 46-55ys 5 ['web', 'email'] 20
## 3011 2018-01-12 74000 56-65ys 5 ['web', 'email'] 20
## 3012 2016-04-13 72000 46-55ys 5 ['web', 'email'] 20
## 3013 2013-08-18 94000 46-55ys 5 ['web', 'email'] 20
## 3014 2017-10-10 73000 46-55ys 5 ['web', 'email'] 20
## 3015 2016-03-29 51000 56-65ys 5 ['web', 'email'] 20
## 3016 2018-04-27 63000 56-65ys 5 ['web', 'email'] 20
## 3017 2017-06-14 65000 36-45ys 5 ['web', 'email'] 20
## 3018 2017-11-13 97000 56-65ys 5 ['web', 'email'] 20
## 3019 2018-01-06 45000 66-75ys 5 ['web', 'email'] 20
## 3020 2017-11-02 31000 56-65ys 5 ['web', 'email'] 20
## 3021 2015-09-09 81000 66-75ys 5 ['web', 'email'] 20
## 3022 2018-04-14 64000 56-65ys 5 ['web', 'email'] 20
## 3023 2017-09-06 44000 76-85ys 5 ['web', 'email'] 20
## 3024 2016-11-13 93000 46-55ys 5 ['web', 'email'] 20
## 3025 2015-09-05 57000 46-55ys 5 ['web', 'email'] 20
## 3026 2017-09-13 56000 56-65ys 5 ['web', 'email'] 20
## 3027 2016-09-06 115000 66-75ys 5 ['web', 'email'] 20
## 3028 2018-01-19 36000 66-75ys 5 ['web', 'email'] 20
## 3029 2016-07-22 109000 46-55ys 5 ['web', 'email'] 20
## 3030 2017-12-20 47000 26-35ys 5 ['web', 'email'] 20
## 3031 2017-10-11 41000 26-35ys 5 ['web', 'email'] 20
## 3032 2018-02-14 37000 56-65ys 5 ['web', 'email'] 20
## 3033 2016-06-26 81000 56-65ys 5 ['web', 'email'] 20
## 3034 2016-03-26 66000 26-35ys 5 ['web', 'email'] 20
## 3035 2015-12-24 69000 66-75ys 5 ['web', 'email'] 20
## 3036 2016-02-28 51000 56-65ys 5 ['web', 'email'] 20
## 3037 2016-12-04 51000 36-45ys 5 ['web', 'email'] 20
## 3038 2018-07-26 88000 56-65ys 5 ['web', 'email'] 20
## 3039 2015-11-27 76000 56-65ys 5 ['web', 'email'] 20
## 3040 2013-10-23 99000 46-55ys 5 ['web', 'email'] 20
## 3041 2018-07-24 97000 66-75ys 5 ['web', 'email'] 20
## 3042 2018-03-22 65000 36-45ys 5 ['web', 'email'] 20
## 3043 2017-09-07 67000 56-65ys 5 ['web', 'email'] 20
## 3044 2018-01-07 65000 18-25ys 5 ['web', 'email'] 20
## 3045 2016-10-09 53000 46-55ys 5 ['web', 'email'] 20
## 3046 2013-09-20 66000 46-55ys 5 ['web', 'email'] 20
## 3047 2014-03-28 59000 56-65ys 5 ['web', 'email'] 20
## 3048 2018-06-27 98000 56-65ys 5 ['web', 'email'] 20
## 3049 2016-07-18 63000 66-75ys 5 ['web', 'email'] 20
## 3050 2013-10-23 99000 46-55ys 5 ['web', 'email'] 20
## 3051 2018-07-26 92000 66-75ys 5 ['web', 'email'] 20
## 3052 2017-10-17 67000 18-25ys 5 ['web', 'email'] 20
## 3053 2017-08-06 39000 > 86ys 5 ['web', 'email'] 20
## 3054 2017-03-23 57000 36-45ys 5 ['web', 'email'] 20
## 3055 2017-01-31 86000 36-45ys 5 ['web', 'email'] 20
## 3056 2017-06-23 66000 46-55ys 5 ['web', 'email'] 20
## 3057 2016-10-09 53000 46-55ys 5 ['web', 'email'] 20
## 3058 2018-04-21 51000 56-65ys 5 ['web', 'email'] 20
## 3059 2017-02-07 59000 18-25ys 5 ['web', 'email'] 20
## 3060 2018-06-10 51000 56-65ys 5 ['web', 'email'] 20
## 3061 2018-06-15 66000 76-85ys 5 ['web', 'email'] 20
## 3062 2015-09-20 38000 46-55ys 5 ['web', 'email'] 20
## 3063 2015-07-31 55000 36-45ys 5 ['web', 'email'] 20
## 3064 2018-05-21 33000 56-65ys 5 ['web', 'email'] 20
## 3065 2016-08-26 74000 46-55ys 5 ['web', 'email'] 20
## 3066 2016-12-23 87000 76-85ys 5 ['web', 'email'] 20
## 3067 2018-07-17 64000 36-45ys 5 ['web', 'email'] 20
## 3068 2017-08-06 70000 56-65ys 5 ['web', 'email'] 20
## 3069 2015-01-15 34000 18-25ys 5 ['web', 'email'] 20
## 3070 2017-10-24 91000 36-45ys 5 ['web', 'email'] 20
## 3071 2015-09-04 74000 66-75ys 5 ['web', 'email'] 20
## 3072 2018-04-22 37000 26-35ys 5 ['web', 'email'] 20
## 3073 2017-08-07 44000 46-55ys 5 ['web', 'email'] 20
## 3074 2018-02-15 38000 36-45ys 5 ['web', 'email'] 20
## 3075 2018-05-05 93000 56-65ys 5 ['web', 'email'] 20
## 3076 2017-09-24 83000 46-55ys 5 ['web', 'email'] 20
## 3077 2016-04-17 110000 46-55ys 5 ['web', 'email'] 20
## 3078 2017-10-08 39000 26-35ys 5 ['web', 'email'] 20
## 3079 2016-09-07 52000 56-65ys 5 ['web', 'email'] 20
## 3080 2017-08-31 89000 46-55ys 5 ['web', 'email'] 20
## 3081 2016-09-04 37000 76-85ys 5 ['web', 'email'] 20
## 3082 2017-11-09 41000 46-55ys 5 ['web', 'email'] 20
## 3083 2017-06-14 82000 46-55ys 5 ['web', 'email'] 20
## 3084 2015-11-07 109000 46-55ys 5 ['web', 'email'] 20
## 3085 2015-12-26 93000 36-45ys 5 ['web', 'email'] 20
## 3086 2016-06-14 54000 46-55ys 5 ['web', 'email'] 20
## 3087 2017-04-11 69000 76-85ys 5 ['web', 'email'] 20
## 3088 2017-06-14 82000 46-55ys 5 ['web', 'email'] 20
## 3089 2015-12-12 85000 66-75ys 5 ['web', 'email'] 20
## 3090 2017-09-25 33000 26-35ys 5 ['web', 'email'] 20
## 3091 2016-06-27 90000 > 86ys 5 ['web', 'email'] 20
## 3092 2018-05-29 69000 56-65ys 5 ['web', 'email'] 20
## 3093 2015-12-10 82000 56-65ys 5 ['web', 'email'] 20
## 3094 2018-01-17 51000 26-35ys 5 ['web', 'email'] 20
## 3095 2017-06-24 54000 56-65ys 5 ['web', 'email'] 20
## 3096 2015-12-10 94000 36-45ys 5 ['web', 'email'] 20
## 3097 2017-12-27 69000 56-65ys 5 ['web', 'email'] 20
## 3098 2014-09-22 99000 56-65ys 5 ['web', 'email'] 20
## 3099 2017-05-18 53000 > 86ys 5 ['web', 'email'] 20
## 3100 2017-10-03 73000 18-25ys 5 ['web', 'email'] 20
## 3101 2017-10-20 112000 56-65ys 5 ['web', 'email'] 20
## 3102 2016-03-25 75000 76-85ys 5 ['web', 'email'] 20
## 3103 2016-08-04 41000 46-55ys 5 ['web', 'email'] 20
## 3104 2016-03-25 75000 76-85ys 5 ['web', 'email'] 20
## 3105 2017-09-23 71000 36-45ys 5 ['web', 'email'] 20
## 3106 2017-10-25 53000 > 86ys 5 ['web', 'email'] 20
## 3107 2017-09-12 56000 36-45ys 5 ['web', 'email'] 20
## 3108 2015-08-26 95000 66-75ys 5 ['web', 'email'] 20
## 3109 2016-07-29 78000 36-45ys 5 ['web', 'email'] 20
## 3110 2017-03-26 71000 46-55ys 5 ['web', 'email'] 20
## 3111 2017-06-24 54000 56-65ys 5 ['web', 'email'] 20
## 3112 2018-01-22 80000 66-75ys 5 ['web', 'email'] 20
## 3113 2016-01-20 80000 46-55ys 5 ['web', 'email'] 20
## 3114 2016-12-31 66000 26-35ys 5 ['web', 'email'] 20
## 3115 2017-01-09 31000 36-45ys 5 ['web', 'email'] 20
## 3116 2018-05-21 49000 56-65ys 5 ['web', 'email'] 20
## 3117 2017-11-30 55000 26-35ys 5 ['web', 'email'] 20
## 3118 2017-08-11 35000 46-55ys 5 ['web', 'email'] 20
## 3119 2017-04-12 36000 26-35ys 5 ['web', 'email'] 20
## 3120 2016-06-22 118000 56-65ys 5 ['web', 'email'] 20
## 3121 2017-09-02 92000 56-65ys 5 ['web', 'email'] 20
## 3122 2018-01-13 39000 26-35ys 5 ['web', 'email'] 20
## 3123 2015-03-12 83000 46-55ys 5 ['web', 'email'] 20
## 3124 2015-04-04 52000 66-75ys 5 ['web', 'email'] 20
## 3125 2016-07-29 37000 36-45ys 5 ['web', 'email'] 20
## 3126 2017-12-07 119000 56-65ys 5 ['web', 'email'] 20
## 3127 2018-04-27 46000 76-85ys 5 ['web', 'email'] 20
## 3128 2014-06-03 55000 56-65ys 5 ['web', 'email'] 20
## 3129 2016-04-26 65000 18-25ys 5 ['web', 'email'] 20
## 3130 2016-05-14 112000 56-65ys 5 ['web', 'email'] 20
## 3131 2018-05-30 35000 26-35ys 5 ['web', 'email'] 20
## 3132 2017-11-22 62000 66-75ys 5 ['web', 'email'] 20
## 3133 2016-08-05 87000 76-85ys 5 ['web', 'email'] 20
## 3134 2017-08-27 58000 36-45ys 5 ['web', 'email'] 20
## 3135 2018-01-19 79000 56-65ys 5 ['web', 'email'] 20
## 3136 2016-04-26 65000 18-25ys 5 ['web', 'email'] 20
## 3137 2016-05-05 54000 46-55ys 5 ['web', 'email'] 20
## 3138 2016-03-27 91000 46-55ys 5 ['web', 'email'] 20
## 3139 2016-05-12 64000 56-65ys 5 ['web', 'email'] 20
## 3140 2017-11-07 98000 56-65ys 5 ['web', 'email'] 20
## 3141 2017-12-07 119000 56-65ys 5 ['web', 'email'] 20
## 3142 2018-03-24 54000 36-45ys 5 ['web', 'email'] 20
## 3143 2018-04-23 52000 56-65ys 5 ['web', 'email'] 20
## 3144 2018-07-16 37000 56-65ys 5 ['web', 'email'] 20
## 3145 2017-05-30 53000 36-45ys 5 ['web', 'email'] 20
## 3146 2017-02-12 48000 46-55ys 5 ['web', 'email'] 20
## 3147 2018-03-28 88000 76-85ys 5 ['web', 'email'] 20
## 3148 2016-08-04 104000 66-75ys 5 ['web', 'email'] 20
## 3149 2017-12-11 70000 36-45ys 5 ['web', 'email'] 20
## 3150 2017-02-28 42000 46-55ys 5 ['web', 'email'] 20
## 3151 2018-07-02 37000 46-55ys 5 ['web', 'email'] 20
## 3152 2017-02-06 49000 36-45ys 5 ['web', 'email'] 20
## 3153 2016-05-26 64000 26-35ys 5 ['web', 'email'] 20
## 3154 2017-07-06 32000 26-35ys 5 ['web', 'email'] 20
## 3155 2018-03-29 83000 36-45ys 5 ['web', 'email'] 20
## 3156 2016-11-16 103000 76-85ys 5 ['web', 'email'] 20
## 3157 2016-04-12 49000 76-85ys 5 ['web', 'email'] 20
## 3158 2018-01-20 52000 66-75ys 5 ['web', 'email'] 20
## 3159 2017-10-24 37000 26-35ys 5 ['web', 'email'] 20
## 3160 2017-04-13 64000 46-55ys 5 ['web', 'email'] 20
## 3161 2018-07-01 99000 56-65ys 5 ['web', 'email'] 20
## 3162 2017-04-13 64000 46-55ys 5 ['web', 'email'] 20
## 3163 2017-11-16 74000 66-75ys 5 ['web', 'email'] 20
## 3164 2016-06-30 92000 66-75ys 5 ['web', 'email'] 20
## 3165 2017-12-21 100000 66-75ys 5 ['web', 'email'] 20
## 3166 2016-01-08 69000 46-55ys 5 ['web', 'email'] 20
## 3167 2016-08-02 94000 56-65ys 5 ['web', 'email'] 20
## 3168 2015-03-16 46000 46-55ys 5 ['web', 'email'] 20
## 3169 2015-12-30 83000 46-55ys 5 ['web', 'email'] 20
## 3170 2016-09-29 66000 46-55ys 5 ['web', 'email'] 20
## 3171 2016-08-31 94000 56-65ys 5 ['web', 'email'] 20
## 3172 2016-09-30 30000 56-65ys 5 ['web', 'email'] 20
## 3173 2016-01-12 116000 56-65ys 5 ['web', 'email'] 20
## 3174 2017-06-16 52000 46-55ys 5 ['web', 'email'] 20
## 3175 2016-01-23 49000 46-55ys 5 ['web', 'email'] 20
## 3176 2018-05-14 89000 76-85ys 5 ['web', 'email'] 20
## 3177 2017-08-07 98000 46-55ys 5 ['web', 'email'] 20
## 3178 2017-06-03 72000 56-65ys 5 ['web', 'email'] 20
## 3179 2015-12-26 52000 56-65ys 5 ['web', 'email'] 20
## 3180 2017-04-29 55000 56-65ys 5 ['web', 'email'] 20
## 3181 2015-10-05 61000 36-45ys 5 ['web', 'email'] 20
## 3182 2017-09-29 54000 46-55ys 5 ['web', 'email'] 20
## 3183 2014-07-19 56000 56-65ys 5 ['web', 'email'] 20
## 3184 2014-08-08 61000 46-55ys 5 ['web', 'email'] 20
## 3185 2017-09-23 85000 66-75ys 5 ['web', 'email'] 20
## 3186 2013-10-05 76000 36-45ys 5 ['web', 'email'] 20
## 3187 2016-08-23 100000 46-55ys 5 ['web', 'email'] 20
## 3188 2014-07-19 56000 56-65ys 5 ['web', 'email'] 20
## 3189 2017-07-22 37000 26-35ys 5 ['web', 'email'] 20
## 3190 2018-07-22 60000 46-55ys 5 ['web', 'email'] 20
## 3191 2014-10-27 51000 56-65ys 5 ['web', 'email'] 20
## 3192 2017-10-17 95000 56-65ys 5 ['web', 'email'] 20
## 3193 2017-10-02 55000 56-65ys 5 ['web', 'email'] 20
## 3194 2017-03-19 55000 26-35ys 5 ['web', 'email'] 20
## 3195 2018-01-10 44000 46-55ys 5 ['web', 'email'] 20
## 3196 2018-01-19 45000 26-35ys 5 ['web', 'email'] 20
## 3197 2018-07-18 64000 36-45ys 5 ['web', 'email'] 20
## 3198 2017-10-30 45000 56-65ys 5 ['web', 'email'] 20
## 3199 2016-06-18 88000 66-75ys 5 ['web', 'email'] 20
## 3200 2017-12-26 61000 46-55ys 5 ['web', 'email'] 20
## 3201 2016-06-18 88000 66-75ys 5 ['web', 'email'] 20
## 3202 2015-09-03 45000 66-75ys 5 ['web', 'email'] 20
## 3203 2017-02-20 64000 56-65ys 5 ['web', 'email'] 20
## 3204 2016-06-13 79000 56-65ys 5 ['web', 'email'] 20
## 3205 2016-11-15 89000 66-75ys 5 ['web', 'email'] 20
## 3206 2016-10-10 113000 76-85ys 5 ['web', 'email'] 20
## 3207 2016-12-12 96000 46-55ys 5 ['web', 'email'] 20
## 3208 2013-12-21 59000 46-55ys 5 ['web', 'email'] 20
## 3209 2017-11-21 73000 36-45ys 5 ['web', 'email'] 20
## 3210 2017-11-26 50000 66-75ys 5 ['web', 'email'] 20
## 3211 2016-11-13 45000 18-25ys 5 ['web', 'email'] 20
## 3212 2017-02-28 50000 26-35ys 5 ['web', 'email'] 20
## 3213 2017-10-02 55000 56-65ys 5 ['web', 'email'] 20
## 3214 2018-01-15 89000 66-75ys 5 ['web', 'email'] 20
## 3215 2018-01-08 67000 36-45ys 5 ['web', 'email'] 20
## 3216 2015-09-24 54000 56-65ys 5 ['web', 'email'] 20
## 3217 2016-03-16 70000 46-55ys 5 ['web', 'email'] 20
## 3218 2017-02-20 59000 56-65ys 5 ['web', 'email'] 20
## 3219 2016-09-13 72000 56-65ys 5 ['web', 'email'] 20
## 3220 2017-08-03 113000 56-65ys 5 ['web', 'email'] 20
## 3221 2018-02-21 52000 56-65ys 5 ['web', 'email'] 20
## 3222 2017-01-29 77000 56-65ys 5 ['web', 'email'] 20
## 3223 2018-01-23 52000 > 86ys 5 ['web', 'email'] 20
## 3224 2017-02-05 48000 26-35ys 5 ['web', 'email'] 20
## 3225 2016-07-12 73000 56-65ys 5 ['web', 'email'] 20
## 3226 2017-04-06 51000 36-45ys 5 ['web', 'email'] 20
## 3227 2016-05-15 59000 66-75ys 5 ['web', 'email'] 20
## 3228 2017-10-07 56000 66-75ys 5 ['web', 'email'] 20
## 3229 2018-06-06 111000 66-75ys 5 ['web', 'email'] 20
## 3230 2016-05-11 39000 18-25ys 5 ['web', 'email'] 20
## 3231 2016-05-11 55000 46-55ys 5 ['web', 'email'] 20
## 3232 2017-04-06 51000 36-45ys 5 ['web', 'email'] 20
## 3233 2018-05-31 72000 56-65ys 5 ['web', 'email'] 20
## 3234 2017-02-04 83000 46-55ys 5 ['web', 'email'] 20
## 3235 2016-03-14 84000 46-55ys 5 ['web', 'email'] 20
## 3236 2017-09-20 87000 66-75ys 5 ['web', 'email'] 20
## 3237 2017-12-25 45000 18-25ys 5 ['web', 'email'] 20
## 3238 2016-05-31 75000 36-45ys 5 ['web', 'email'] 20
## 3239 2015-10-17 64000 46-55ys 5 ['web', 'email'] 20
## 3240 2018-02-18 52000 76-85ys 5 ['web', 'email'] 20
## 3241 2017-10-19 53000 26-35ys 5 ['web', 'email'] 20
## 3242 2016-04-01 78000 66-75ys 5 ['web', 'email'] 20
## 3243 2015-11-24 74000 66-75ys 5 ['web', 'email'] 20
## 3244 2014-05-31 66000 36-45ys 5 ['web', 'email'] 20
## 3245 2017-10-20 73000 18-25ys 5 ['web', 'email'] 20
## 3246 2015-10-10 87000 56-65ys 5 ['web', 'email'] 20
## 3247 2016-06-17 81000 56-65ys 5 ['web', 'email'] 20
## 3248 2016-02-23 87000 76-85ys 5 ['web', 'email'] 20
## 3249 2017-10-06 76000 46-55ys 5 ['web', 'email'] 20
## 3250 2014-11-01 59000 36-45ys 5 ['web', 'email'] 20
## 3251 2016-01-31 57000 76-85ys 5 ['web', 'email'] 20
## 3252 2017-12-27 66000 18-25ys 5 ['web', 'email'] 20
## 3253 2016-05-16 66000 26-35ys 5 ['web', 'email'] 20
## 3254 2016-09-18 37000 56-65ys 5 ['web', 'email'] 20
## 3255 2018-01-20 42000 46-55ys 5 ['web', 'email'] 20
## 3256 2016-09-02 64000 46-55ys 5 ['web', 'email'] 20
## 3257 2017-06-05 63000 36-45ys 5 ['web', 'email'] 20
## 3258 2018-02-12 79000 46-55ys 5 ['web', 'email'] 20
## 3259 2017-11-04 69000 36-45ys 5 ['web', 'email'] 20
## 3260 2017-09-02 73000 56-65ys 5 ['web', 'email'] 20
## 3261 2016-02-25 59000 26-35ys 5 ['web', 'email'] 20
## 3262 2017-10-31 72000 26-35ys 5 ['web', 'email'] 20
## 3263 2017-12-05 90000 46-55ys 5 ['web', 'email'] 20
## 3264 2015-08-03 61000 > 86ys 5 ['web', 'email'] 20
## 3265 2017-10-13 58000 36-45ys 5 ['web', 'email'] 20
## 3266 2017-10-08 95000 56-65ys 5 ['web', 'email'] 20
## 3267 2018-04-27 113000 56-65ys 5 ['web', 'email'] 20
## 3268 2018-04-30 31000 46-55ys 5 ['web', 'email'] 20
## 3269 2017-10-17 62000 46-55ys 5 ['web', 'email'] 20
## 3270 2017-10-04 71000 > 86ys 5 ['web', 'email'] 20
## 3271 2017-12-08 50000 36-45ys 5 ['web', 'email'] 20
## 3272 2016-07-12 81000 66-75ys 5 ['web', 'email'] 20
## 3273 2017-09-29 37000 46-55ys 5 ['web', 'email'] 20
## 3274 2016-01-09 72000 46-55ys 5 ['web', 'email'] 20
## 3275 2017-09-12 77000 56-65ys 5 ['web', 'email'] 20
## 3276 2018-01-27 54000 46-55ys 5 ['web', 'email'] 20
## 3277 2015-10-09 36000 76-85ys 5 ['web', 'email'] 20
## 3278 2017-09-14 57000 56-65ys 5 ['web', 'email'] 20
## 3279 2016-01-16 86000 56-65ys 5 ['web', 'email'] 20
## 3280 2017-09-20 33000 26-35ys 5 ['web', 'email'] 20
## 3281 2016-01-17 96000 36-45ys 5 ['web', 'email'] 20
## 3282 2016-11-20 93000 46-55ys 5 ['web', 'email'] 20
## 3283 2017-12-25 74000 76-85ys 5 ['web', 'email'] 20
## 3284 2015-08-02 57000 46-55ys 5 ['web', 'email'] 20
## 3285 2018-01-20 51000 46-55ys 5 ['web', 'email'] 20
## 3286 2016-12-24 67000 56-65ys 5 ['web', 'email'] 20
## 3287 2016-11-08 51000 46-55ys 5 ['web', 'email'] 20
## 3288 2017-09-29 84000 56-65ys 5 ['web', 'email'] 20
## 3289 2017-09-09 100000 56-65ys 5 ['web', 'email'] 20
## 3290 2016-07-09 40000 18-25ys 5 ['web', 'email'] 20
## 3291 2017-11-21 75000 66-75ys 5 ['web', 'email'] 20
## 3292 2018-05-06 62000 36-45ys 5 ['web', 'email'] 20
## 3293 2015-10-24 79000 56-65ys 5 ['web', 'email'] 20
## 3294 2017-08-19 55000 46-55ys 5 ['web', 'email'] 20
## 3295 2017-06-25 35000 46-55ys 5 ['web', 'email'] 20
## 3296 2016-05-04 79000 36-45ys 5 ['web', 'email'] 20
## 3297 2016-02-17 61000 36-45ys 5 ['web', 'email'] 20
## 3298 2017-10-31 64000 66-75ys 5 ['web', 'email'] 20
## 3299 2017-06-20 88000 66-75ys 5 ['web', 'email'] 20
## 3300 2015-10-24 79000 56-65ys 5 ['web', 'email'] 20
## 3301 2018-03-07 103000 56-65ys 5 ['web', 'email'] 20
## 3302 2018-07-02 57000 > 86ys 5 ['web', 'email'] 20
## 3303 2017-12-03 52000 66-75ys 5 ['web', 'email'] 20
## 3304 2014-06-03 99000 36-45ys 5 ['web', 'email'] 20
## 3305 2017-02-02 59000 46-55ys 5 ['web', 'email'] 20
## 3306 2016-04-13 84000 56-65ys 5 ['web', 'email'] 20
## 3307 2018-07-07 84000 46-55ys 5 ['web', 'email'] 20
## 3308 2015-03-08 54000 66-75ys 5 ['web', 'email'] 20
## 3309 2018-03-19 92000 > 86ys 5 ['web', 'email'] 20
## 3310 2013-08-06 69000 66-75ys 5 ['web', 'email'] 20
## 3311 2015-02-16 43000 46-55ys 5 ['web', 'email'] 20
## 3312 2018-06-28 66000 56-65ys 5 ['web', 'email'] 20
## 3313 2017-03-24 86000 36-45ys 5 ['web', 'email'] 20
## 3314 2018-03-19 92000 > 86ys 5 ['web', 'email'] 20
## 3315 2016-04-15 48000 36-45ys 5 ['web', 'email'] 20
## 3316 2018-05-01 56000 36-45ys 5 ['web', 'email'] 20
## 3317 2017-10-15 47000 56-65ys 5 ['web', 'email'] 20
## 3318 2015-09-19 88000 76-85ys 5 ['web', 'email'] 20
## 3319 2018-05-23 58000 76-85ys 5 ['web', 'email'] 20
## 3320 2017-10-03 47000 56-65ys 5 ['web', 'email'] 20
## 3321 2017-09-20 41000 26-35ys 5 ['web', 'email'] 20
## 3322 2018-05-07 45000 66-75ys 5 ['web', 'email'] 20
## 3323 2017-06-16 108000 66-75ys 5 ['web', 'email'] 20
## 3324 2014-01-18 43000 56-65ys 5 ['web', 'email'] 20
## 3325 2015-08-20 46000 36-45ys 5 ['web', 'email'] 20
## 3326 2018-02-10 64000 18-25ys 5 ['web', 'email'] 20
## 3327 2013-11-22 38000 36-45ys 5 ['web', 'email'] 20
## 3328 2017-09-24 34000 18-25ys 5 ['web', 'email'] 20
## 3329 2017-12-31 66000 66-75ys 5 ['web', 'email'] 20
## 3330 2015-11-26 74000 76-85ys 5 ['web', 'email'] 20
## 3331 2018-06-03 88000 36-45ys 5 ['web', 'email'] 20
## 3332 2016-07-12 34000 46-55ys 5 ['web', 'email'] 20
## 3333 2016-10-17 101000 66-75ys 5 ['web', 'email'] 20
## 3334 2016-01-13 72000 18-25ys 5 ['web', 'email'] 20
## 3335 2016-04-09 51000 56-65ys 5 ['web', 'email'] 20
## 3336 2017-04-30 61000 36-45ys 5 ['web', 'email'] 20
## 3337 2016-04-09 51000 56-65ys 5 ['web', 'email'] 20
## 3338 2018-07-17 40000 26-35ys 5 ['web', 'email'] 20
## 3339 2017-11-05 43000 26-35ys 5 ['web', 'email'] 20
## 3340 2016-11-03 57000 66-75ys 5 ['web', 'email'] 20
## 3341 2017-12-09 61000 66-75ys 5 ['web', 'email'] 20
## 3342 2016-05-19 77000 56-65ys 5 ['web', 'email'] 20
## 3343 2018-03-17 60000 56-65ys 5 ['web', 'email'] 20
## 3344 2018-01-02 50000 46-55ys 5 ['web', 'email'] 20
## 3345 2016-03-09 52000 26-35ys 5 ['web', 'email'] 20
## 3346 2018-01-02 83000 46-55ys 5 ['web', 'email'] 20
## 3347 2017-09-07 67000 56-65ys 5 ['web', 'email'] 20
## 3348 2016-08-09 71000 56-65ys 5 ['web', 'email'] 20
## 3349 2018-06-29 70000 46-55ys 5 ['web', 'email'] 20
## 3350 2017-05-13 73000 46-55ys 5 ['web', 'email'] 20
## 3351 2015-11-19 76000 > 86ys 5 ['web', 'email'] 20
## 3352 2018-07-13 46000 46-55ys 5 ['web', 'email'] 20
## 3353 2017-08-05 61000 56-65ys 5 ['web', 'email'] 20
## 3354 2018-01-12 74000 56-65ys 5 ['web', 'email'] 20
## 3355 2018-03-17 60000 56-65ys 5 ['web', 'email'] 20
## 3356 2016-02-17 95000 56-65ys 5 ['web', 'email'] 20
## 3357 2014-04-18 58000 > 86ys 5 ['web', 'email'] 20
## 3358 2016-07-14 85000 76-85ys 5 ['web', 'email'] 20
## 3359 2015-12-31 99000 76-85ys 5 ['web', 'email'] 20
## 3360 2016-05-28 96000 66-75ys 5 ['web', 'email'] 20
## 3361 2016-10-09 72000 46-55ys 5 ['web', 'email'] 20
## 3362 2016-08-25 75000 46-55ys 5 ['web', 'email'] 20
## 3363 2018-06-03 52000 36-45ys 5 ['web', 'email'] 20
## 3364 2016-05-28 96000 66-75ys 5 ['web', 'email'] 20
## 3365 2015-12-31 99000 76-85ys 5 ['web', 'email'] 20
## 3366 2018-01-02 71000 76-85ys 5 ['web', 'email'] 20
## 3367 2018-03-17 41000 26-35ys 5 ['web', 'email'] 20
## 3368 2015-01-17 95000 36-45ys 5 ['web', 'email'] 20
## 3369 2016-10-18 56000 56-65ys 5 ['web', 'email'] 20
## 3370 2017-08-30 49000 56-65ys 5 ['web', 'email'] 20
## 3371 2017-05-26 57000 56-65ys 5 ['web', 'email'] 20
## 3372 2017-11-29 87000 56-65ys 5 ['web', 'email'] 20
## 3373 2013-12-15 96000 56-65ys 5 ['web', 'email'] 20
## 3374 2017-09-30 79000 76-85ys 5 ['web', 'email'] 20
## 3375 2018-01-10 79000 46-55ys 5 ['web', 'email'] 20
## 3376 2016-08-12 61000 66-75ys 5 ['web', 'email'] 20
## 3377 2015-08-06 62000 46-55ys 5 ['web', 'email'] 20
## 3378 2016-02-20 91000 46-55ys 5 ['web', 'email'] 20
## 3379 2018-01-25 55000 46-55ys 5 ['web', 'email'] 20
## 3380 2018-06-06 76000 46-55ys 5 ['web', 'email'] 20
## 3381 2016-04-23 68000 46-55ys 5 ['web', 'email'] 20
## 3382 2017-08-18 50000 66-75ys 5 ['web', 'email'] 20
## 3383 2017-08-22 91000 56-65ys 5 ['web', 'email'] 20
## 3384 2018-01-15 58000 56-65ys 5 ['web', 'email'] 20
## 3385 2016-09-14 36000 18-25ys 5 ['web', 'email'] 20
## 3386 2016-01-15 60000 66-75ys 5 ['web', 'email'] 20
## 3387 2015-08-15 80000 46-55ys 5 ['web', 'email'] 20
## 3388 2018-02-01 91000 36-45ys 5 ['web', 'email'] 20
## 3389 2016-04-10 96000 56-65ys 5 ['web', 'email'] 20
## 3390 2017-12-09 33000 76-85ys 5 ['web', 'email'] 20
## 3391 2018-01-03 80000 66-75ys 5 ['web', 'email'] 20
## 3392 2017-06-26 72000 26-35ys 5 ['web', 'email'] 20
## 3393 2017-04-21 108000 66-75ys 5 ['web', 'email'] 20
## 3394 2018-06-29 32000 56-65ys 5 ['web', 'email'] 20
## 3395 2017-05-10 97000 56-65ys 5 ['web', 'email'] 20
## 3396 2013-09-02 45000 56-65ys 5 ['web', 'email'] 20
## 3397 2018-07-15 39000 46-55ys 5 ['web', 'email'] 20
## 3398 2015-08-14 64000 46-55ys 5 ['web', 'email'] 20
## 3399 2017-12-01 48000 26-35ys 5 ['web', 'email'] 20
## 3400 2018-04-10 52000 56-65ys 5 ['web', 'email'] 20
## 3401 2015-05-06 84000 76-85ys 5 ['web', 'email'] 20
## 3402 2015-09-06 85000 56-65ys 5 ['web', 'email'] 20
## 3403 2017-10-14 103000 46-55ys 5 ['web', 'email'] 20
## 3404 2017-08-30 31000 66-75ys 5 ['web', 'email'] 20
## 3405 2016-04-03 85000 76-85ys 5 ['web', 'email'] 20
## 3406 2017-10-22 76000 56-65ys 5 ['web', 'email'] 20
## 3407 2016-11-25 97000 66-75ys 5 ['web', 'email'] 20
## 3408 2018-04-22 96000 36-45ys 5 ['web', 'email'] 20
## 3409 2017-08-30 31000 66-75ys 5 ['web', 'email'] 20
## 3410 2017-01-17 95000 56-65ys 5 ['web', 'email'] 20
## 3411 2017-06-23 66000 46-55ys 5 ['web', 'email'] 20
## 3412 2016-05-02 98000 56-65ys 5 ['web', 'email'] 20
## 3413 2017-08-06 39000 > 86ys 5 ['web', 'email'] 20
## 3414 2016-05-02 98000 56-65ys 5 ['web', 'email'] 20
## 3415 2015-10-29 33000 26-35ys 5 ['web', 'email'] 20
## 3416 2017-08-30 86000 46-55ys 5 ['web', 'email'] 20
## 3417 2014-09-09 64000 76-85ys 5 ['web', 'email'] 20
## 3418 2016-07-18 63000 66-75ys 5 ['web', 'email'] 20
## 3419 2018-01-16 51000 26-35ys 5 ['web', 'email'] 20
## 3420 2017-04-26 61000 76-85ys 5 ['web', 'email'] 20
## 3421 2018-02-15 57000 66-75ys 5 ['web', 'email'] 20
## 3422 2016-05-28 96000 > 86ys 5 ['web', 'email'] 20
## 3423 2018-06-10 40000 46-55ys 5 ['web', 'email'] 20
## 3424 2018-06-04 71000 56-65ys 5 ['web', 'email'] 20
## 3425 2016-05-28 96000 > 86ys 5 ['web', 'email'] 20
## 3426 2017-09-15 48000 26-35ys 5 ['web', 'email'] 20
## 3427 2017-05-02 57000 46-55ys 5 ['web', 'email'] 20
## 3428 2017-08-22 33000 18-25ys 5 ['web', 'email'] 20
## 3429 2018-06-27 34000 56-65ys 5 ['web', 'email'] 20
## 3430 2016-08-19 96000 56-65ys 5 ['web', 'email'] 20
## 3431 2016-10-28 33000 66-75ys 5 ['web', 'email'] 20
## 3432 2017-11-12 32000 18-25ys 5 ['web', 'email'] 20
## 3433 2016-09-20 64000 66-75ys 5 ['web', 'email'] 20
## 3434 2016-11-18 86000 36-45ys 5 ['web', 'email'] 20
## 3435 2015-01-28 60000 56-65ys 5 ['web', 'email'] 20
## 3436 2017-11-30 72000 66-75ys 5 ['web', 'email'] 20
## 3437 2017-11-14 48000 26-35ys 5 ['web', 'email'] 20
## 3438 2016-02-29 39000 > 86ys 5 ['web', 'email'] 20
## 3439 2017-04-24 96000 56-65ys 5 ['web', 'email'] 20
## 3440 2017-01-25 72000 46-55ys 5 ['web', 'email'] 20
## 3441 2016-11-18 86000 36-45ys 5 ['web', 'email'] 20
## 3442 2018-01-21 32000 36-45ys 5 ['web', 'email'] 20
## 3443 2016-08-04 52000 56-65ys 5 ['web', 'email'] 20
## 3444 2018-02-20 94000 46-55ys 5 ['web', 'email'] 20
## 3445 2016-08-11 90000 56-65ys 5 ['web', 'email'] 20
## 3446 2018-01-23 57000 46-55ys 5 ['web', 'email'] 20
## 3447 2015-08-06 62000 56-65ys 5 ['web', 'email'] 20
## 3448 2015-11-04 38000 26-35ys 5 ['web', 'email'] 20
## 3449 2017-07-05 89000 56-65ys 5 ['web', 'email'] 20
## 3450 2016-04-18 78000 66-75ys 5 ['web', 'email'] 20
## 3451 2013-10-08 72000 76-85ys 5 ['web', 'email'] 20
## 3452 2015-03-23 34000 46-55ys 5 ['web', 'email'] 20
## 3453 2017-06-13 71000 56-65ys 5 ['web', 'email'] 20
## 3454 2017-04-11 69000 76-85ys 5 ['web', 'email'] 20
## 3455 2018-06-26 93000 76-85ys 5 ['web', 'email'] 20
## 3456 2016-11-11 75000 36-45ys 5 ['web', 'email'] 20
## 3457 2016-07-15 118000 46-55ys 5 ['web', 'email'] 20
## 3458 2018-02-24 73000 26-35ys 5 ['web', 'email'] 20
## 3459 2016-05-13 86000 56-65ys 5 ['web', 'email'] 20
## 3460 2018-03-30 96000 46-55ys 5 ['web', 'email'] 20
## 3461 2017-09-10 53000 46-55ys 5 ['web', 'email'] 20
## 3462 2016-08-13 84000 56-65ys 5 ['web', 'email'] 20
## 3463 2016-06-12 48000 46-55ys 5 ['web', 'email'] 20
## 3464 2016-02-10 36000 66-75ys 5 ['web', 'email'] 20
## 3465 2016-05-29 42000 56-65ys 5 ['web', 'email'] 20
## 3466 2017-10-25 58000 26-35ys 5 ['web', 'email'] 20
## 3467 2014-11-30 77000 > 86ys 5 ['web', 'email'] 20
## 3468 2015-12-10 93000 56-65ys 5 ['web', 'email'] 20
## 3469 2016-06-10 73000 66-75ys 5 ['web', 'email'] 20
## 3470 2016-05-08 40000 46-55ys 5 ['web', 'email'] 20
## 3471 2018-01-22 80000 66-75ys 5 ['web', 'email'] 20
## 3472 2017-06-29 80000 66-75ys 5 ['web', 'email'] 20
## 3473 2018-02-26 34000 46-55ys 5 ['web', 'email'] 20
## 3474 2017-08-07 58000 46-55ys 5 ['web', 'email'] 20
## 3475 2018-01-15 83000 56-65ys 5 ['web', 'email'] 20
## 3476 2017-03-12 86000 56-65ys 5 ['web', 'email'] 20
## 3477 2013-08-15 66000 66-75ys 5 ['web', 'email'] 20
## 3478 2017-10-07 118000 66-75ys 5 ['web', 'email'] 20
## 3479 2017-10-09 32000 36-45ys 5 ['web', 'email'] 20
## 3480 2017-11-18 51000 36-45ys 5 ['web', 'email'] 20
## 3481 2017-05-18 53000 > 86ys 5 ['web', 'email'] 20
## 3482 2017-06-29 80000 66-75ys 5 ['web', 'email'] 20
## 3483 2017-11-23 106000 66-75ys 5 ['web', 'email'] 20
## 3484 2016-03-17 77000 66-75ys 5 ['web', 'email'] 20
## 3485 2018-06-29 61000 26-35ys 5 ['web', 'email'] 20
## 3486 2018-01-12 40000 18-25ys 5 ['web', 'email'] 20
## 3487 2015-08-16 79000 56-65ys 5 ['web', 'email'] 20
## 3488 2017-07-15 76000 56-65ys 5 ['web', 'email'] 20
## 3489 2017-11-08 53000 18-25ys 5 ['web', 'email'] 20
## 3490 2015-08-03 45000 46-55ys 5 ['web', 'email'] 20
## 3491 2018-01-18 41000 76-85ys 5 ['web', 'email'] 20
## 3492 2017-10-18 68000 56-65ys 5 ['web', 'email'] 20
## 3493 2017-11-01 99000 66-75ys 5 ['web', 'email'] 20
## 3494 2018-01-13 96000 76-85ys 5 ['web', 'email'] 20
## 3495 2018-04-06 74000 76-85ys 5 ['web', 'email'] 20
## 3496 2014-04-23 43000 56-65ys 5 ['web', 'email'] 20
## 3497 2016-09-03 85000 46-55ys 5 ['web', 'email'] 20
## 3498 2016-10-23 58000 46-55ys 5 ['web', 'email'] 20
## 3499 2017-12-16 60000 56-65ys 5 ['web', 'email'] 20
## 3500 2018-06-02 33000 18-25ys 5 ['web', 'email'] 20
## 3501 2017-11-21 50000 26-35ys 5 ['web', 'email'] 20
## 3502 2014-10-10 86000 56-65ys 5 ['web', 'email'] 20
## 3503 2018-02-16 83000 56-65ys 5 ['web', 'email'] 20
## 3504 2017-04-25 95000 76-85ys 5 ['web', 'email'] 20
## 3505 2017-07-28 96000 56-65ys 5 ['web', 'email'] 20
## 3506 2015-10-01 50000 56-65ys 5 ['web', 'email'] 20
## 3507 2016-03-27 91000 46-55ys 5 ['web', 'email'] 20
## 3508 2016-05-04 38000 > 86ys 5 ['web', 'email'] 20
## 3509 2018-05-18 74000 18-25ys 5 ['web', 'email'] 20
## 3510 2015-09-02 54000 36-45ys 5 ['web', 'email'] 20
## 3511 2016-03-12 67000 36-45ys 5 ['web', 'email'] 20
## 3512 2013-10-07 54000 46-55ys 5 ['web', 'email'] 20
## 3513 2018-01-02 71000 36-45ys 5 ['web', 'email'] 20
## 3514 2017-06-02 96000 56-65ys 5 ['web', 'email'] 20
## 3515 2018-03-10 42000 56-65ys 5 ['web', 'email'] 20
## 3516 2017-01-10 55000 46-55ys 5 ['web', 'email'] 20
## 3517 2016-05-30 111000 56-65ys 5 ['web', 'email'] 20
## 3518 2015-08-30 108000 66-75ys 5 ['web', 'email'] 20
## 3519 2018-03-17 83000 46-55ys 5 ['web', 'email'] 20
## 3520 2015-05-28 56000 46-55ys 5 ['web', 'email'] 20
## 3521 2015-11-01 51000 66-75ys 5 ['web', 'email'] 20
## 3522 2014-09-27 91000 66-75ys 5 ['web', 'email'] 20
## 3523 2017-04-25 35000 46-55ys 5 ['web', 'email'] 20
## 3524 2017-04-25 35000 46-55ys 5 ['web', 'email'] 20
## 3525 2017-12-15 84000 56-65ys 5 ['web', 'email'] 20
## 3526 2017-06-14 69000 46-55ys 5 ['web', 'email'] 20
## 3527 2015-11-01 51000 66-75ys 5 ['web', 'email'] 20
## 3528 2013-10-26 73000 46-55ys 5 ['web', 'email'] 20
## 3529 2017-08-07 73000 56-65ys 5 ['web', 'email'] 20
## 3530 2017-11-13 44000 36-45ys 5 ['web', 'email'] 20
## 3531 2017-08-16 66000 > 86ys 5 ['web', 'email'] 20
## 3532 2016-08-19 70000 66-75ys 5 ['web', 'email'] 20
## 3533 2016-06-20 89000 66-75ys 5 ['web', 'email'] 20
## 3534 2018-05-16 53000 76-85ys 5 ['web', 'email'] 20
## 3535 2016-04-14 100000 36-45ys 5 ['web', 'email'] 20
## 3536 2014-06-01 60000 76-85ys 5 ['web', 'email'] 20
## 3537 2013-10-26 73000 46-55ys 5 ['web', 'email'] 20
## 3538 2017-10-07 57000 66-75ys 5 ['web', 'email'] 20
## 3539 2017-04-14 52000 46-55ys 5 ['web', 'email'] 20
## 3540 2015-04-18 78000 66-75ys 5 ['web', 'email'] 20
## 3541 2017-04-14 52000 46-55ys 5 ['web', 'email'] 20
## 3542 2016-03-24 116000 56-65ys 5 ['web', 'email'] 20
## 3543 2016-08-24 59000 26-35ys 5 ['web', 'email'] 20
## 3544 2018-03-19 65000 36-45ys 5 ['web', 'email'] 20
## 3545 2018-05-19 38000 26-35ys 5 ['web', 'email'] 20
## 3546 2016-07-18 96000 56-65ys 5 ['web', 'email'] 20
## 3547 2016-05-22 81000 56-65ys 5 ['web', 'email'] 20
## 3548 2015-09-03 45000 66-75ys 5 ['web', 'email'] 20
## 3549 2018-04-29 62000 66-75ys 5 ['web', 'email'] 20
## 3550 2018-07-21 95000 66-75ys 5 ['web', 'email'] 20
## 3551 2017-05-17 74000 56-65ys 5 ['web', 'email'] 20
## 3552 2018-07-22 60000 46-55ys 5 ['web', 'email'] 20
## 3553 2018-06-21 53000 26-35ys 5 ['web', 'email'] 20
## 3554 2017-09-16 37000 66-75ys 5 ['web', 'email'] 20
## 3555 2016-07-07 44000 46-55ys 5 ['web', 'email'] 20
## 3556 2016-07-26 97000 46-55ys 5 ['web', 'email'] 20
## 3557 2018-01-25 56000 56-65ys 5 ['web', 'email'] 20
## 3558 2017-10-02 89000 > 86ys 5 ['web', 'email'] 20
## 3559 2017-06-04 85000 46-55ys 5 ['web', 'email'] 20
## 3560 2017-10-01 31000 76-85ys 5 ['web', 'email'] 20
## 3561 2016-07-25 76000 56-65ys 5 ['web', 'email'] 20
## 3562 2017-10-14 83000 56-65ys 5 ['web', 'email'] 20
## 3563 2014-10-29 44000 36-45ys 5 ['web', 'email'] 20
## 3564 2018-07-17 56000 46-55ys 5 ['web', 'email'] 20
## 3565 2017-12-19 62000 46-55ys 5 ['web', 'email'] 20
## 3566 2016-10-03 89000 46-55ys 5 ['web', 'email'] 20
## 3567 2016-11-04 32000 36-45ys 5 ['web', 'email'] 20
## 3568 2017-03-20 40000 56-65ys 5 ['web', 'email'] 20
## 3569 2017-02-22 34000 46-55ys 5 ['web', 'email'] 20
## 3570 2017-11-18 109000 76-85ys 5 ['web', 'email'] 20
## 3571 2016-06-03 55000 46-55ys 5 ['web', 'email'] 20
## 3572 2017-11-18 109000 76-85ys 5 ['web', 'email'] 20
## 3573 2017-06-27 40000 26-35ys 5 ['web', 'email'] 20
## 3574 2016-12-22 72000 46-55ys 5 ['web', 'email'] 20
## 3575 2015-12-04 80000 26-35ys 5 ['web', 'email'] 20
## 3576 2016-08-11 81000 > 86ys 5 ['web', 'email'] 20
## 3577 2018-06-16 43000 46-55ys 5 ['web', 'email'] 20
## 3578 2017-12-13 73000 76-85ys 5 ['web', 'email'] 20
## 3579 2015-10-20 101000 66-75ys 5 ['web', 'email'] 20
## 3580 2017-08-15 39000 36-45ys 5 ['web', 'email'] 20
## 3581 2018-07-17 50000 46-55ys 5 ['web', 'email'] 20
## 3582 2016-11-15 53000 36-45ys 5 ['web', 'email'] 20
## 3583 2014-07-16 40000 56-65ys 5 ['web', 'email'] 20
## 3584 2018-07-09 93000 66-75ys 5 ['web', 'email'] 20
## 3585 2017-09-09 90000 26-35ys 5 ['web', 'email'] 20
## 3586 2015-07-22 75000 66-75ys 5 ['web', 'email'] 20
## 3587 2017-11-22 72000 46-55ys 5 ['web', 'email'] 20
## 3588 2016-02-07 78000 > 86ys 5 ['web', 'email'] 20
## 3589 2017-08-12 62000 56-65ys 5 ['web', 'email'] 20
## 3590 2016-02-01 66000 46-55ys 5 ['web', 'email'] 20
## 3591 2015-08-15 61000 18-25ys 5 ['web', 'email'] 20
## 3592 2017-01-24 71000 66-75ys 5 ['web', 'email'] 20
## 3593 2015-12-25 47000 66-75ys 5 ['web', 'email'] 20
## 3594 2018-06-13 76000 56-65ys 5 ['web', 'email'] 20
## 3595 2018-05-31 61000 56-65ys 5 ['web', 'email'] 20
## 3596 2014-07-17 85000 66-75ys 5 ['web', 'email'] 20
## 3597 2016-01-16 117000 76-85ys 5 ['web', 'email'] 20
## 3598 2017-08-21 31000 26-35ys 5 ['web', 'email'] 20
## 3599 2017-08-28 51000 18-25ys 5 ['web', 'email'] 20
## 3600 2017-08-23 91000 56-65ys 5 ['web', 'email'] 20
## 3601 2017-04-02 53000 18-25ys 5 ['web', 'email'] 20
## 3602 2016-02-02 56000 36-45ys 5 ['web', 'email'] 20
## 3603 2018-06-06 111000 66-75ys 5 ['web', 'email'] 20
## 3604 2016-04-24 72000 56-65ys 5 ['web', 'email'] 20
## 3605 2017-01-23 59000 56-65ys 5 ['web', 'email'] 20
## 3606 2017-11-05 70000 76-85ys 5 ['web', 'email'] 20
## 3607 2017-12-12 73000 26-35ys 5 ['web', 'email'] 20
## 3608 2017-10-29 70000 56-65ys 5 ['web', 'email'] 20
## 3609 2018-06-06 71000 26-35ys 5 ['web', 'email'] 20
## 3610 2018-07-15 60000 18-25ys 5 ['web', 'email'] 20
## 3611 2017-10-28 50000 56-65ys 5 ['web', 'email'] 20
## 3612 2017-07-09 73000 26-35ys 5 ['web', 'email'] 20
## 3613 2016-02-01 66000 46-55ys 5 ['web', 'email'] 20
## 3614 2017-07-09 73000 26-35ys 5 ['web', 'email'] 20
## 3615 2016-11-11 77000 56-65ys 5 ['web', 'email'] 20
## 3616 2015-08-26 70000 46-55ys 5 ['web', 'email'] 20
## 3617 2016-11-12 50000 46-55ys 5 ['web', 'email'] 20
## 3618 2016-04-28 84000 76-85ys 5 ['web', 'email'] 20
## 3619 2016-04-02 77000 46-55ys 5 ['web', 'email'] 20
## 3620 2015-08-26 70000 46-55ys 5 ['web', 'email'] 20
## 3621 2016-08-16 57000 76-85ys 5 ['web', 'email'] 20
## 3622 2016-08-16 57000 76-85ys 5 ['web', 'email'] 20
## 3623 2016-04-30 59000 46-55ys 5 ['web', 'email'] 20
## 3624 2017-09-25 70000 18-25ys 5 ['web', 'email'] 20
## 3625 2016-06-18 117000 > 86ys 5 ['web', 'email'] 20
## 3626 2014-01-10 71000 66-75ys 5 ['web', 'email'] 20
## 3627 2018-03-01 64000 56-65ys 5 ['web', 'email'] 20
## 3628 2018-04-19 50000 56-65ys 5 ['web', 'email'] 20
## 3629 2017-08-05 89000 36-45ys 5 ['web', 'email'] 20
## 3630 2017-03-02 103000 46-55ys 5 ['web', 'email'] 20
## 3631 2016-08-28 82000 46-55ys 5 ['web', 'email'] 20
## 3632 2017-10-19 37000 26-35ys 5 ['web', 'email'] 20
## 3633 2018-04-14 76000 66-75ys 5 ['web', 'email'] 20
## 3634 2018-02-26 74000 46-55ys 5 ['web', 'email'] 20
## 3635 2016-09-09 80000 66-75ys 5 ['web', 'email'] 20
## 3636 2017-12-11 40000 36-45ys 5 ['web', 'email'] 20
## 3637 2017-07-13 58000 66-75ys 5 ['web', 'email'] 20
## 3638 2016-05-04 71000 36-45ys 5 ['web', 'email'] 20
## 3639 2016-02-10 77000 66-75ys 5 ['web', 'email'] 20
## 3640 2017-09-07 30000 46-55ys 5 ['web', 'email'] 20
## 3641 2018-05-11 37000 26-35ys 5 ['web', 'email'] 20
## 3642 2016-05-05 64000 26-35ys 5 ['web', 'email'] 20
## 3643 2018-04-20 88000 56-65ys 5 ['web', 'email'] 20
## 3644 2016-07-04 64000 46-55ys 5 ['web', 'email'] 20
## 3645 2016-07-15 53000 46-55ys 5 ['web', 'email'] 20
## 3646 2017-01-01 73000 46-55ys 5 ['web', 'email'] 20
## 3647 2018-03-03 103000 > 86ys 5 ['web', 'email'] 20
## 3648 2016-07-29 95000 56-65ys 5 ['web', 'email'] 20
## 3649 2016-02-10 77000 66-75ys 5 ['web', 'email'] 20
## 3650 2016-08-19 100000 36-45ys 5 ['web', 'email'] 20
## 3651 2017-04-17 74000 46-55ys 5 ['web', 'email'] 20
## 3652 2017-11-01 35000 18-25ys 5 ['web', 'email'] 20
## 3653 2016-03-17 53000 26-35ys 5 ['web', 'email'] 20
## 3654 2014-01-08 60000 76-85ys 5 ['web', 'email'] 20
## 3655 2017-05-12 63000 46-55ys 5 ['web', 'email'] 20
## 3656 2018-05-16 56000 18-25ys 5 ['web', 'email'] 20
## 3657 2016-10-20 41000 46-55ys 5 ['web', 'email'] 20
## 3658 2018-02-26 53000 46-55ys 5 ['web', 'email'] 20
## 3659 2017-04-18 95000 46-55ys 5 ['web', 'email'] 20
## 3660 2017-05-24 49000 18-25ys 5 ['web', 'email'] 20
## 3661 2017-11-03 53000 36-45ys 5 ['web', 'email'] 20
## 3662 2018-04-14 61000 66-75ys 5 ['web', 'email'] 20
## 3663 2016-05-24 85000 56-65ys 5 ['web', 'email'] 20
## 3664 2018-05-17 62000 36-45ys 5 ['web', 'email'] 20
## 3665 2017-08-19 55000 46-55ys 5 ['web', 'email'] 20
## 3666 2017-08-05 90000 66-75ys 5 ['web', 'email'] 20
## 3667 2017-11-27 51000 66-75ys 5 ['web', 'email'] 20
## 3668 2015-11-05 47000 26-35ys 5 ['web', 'email'] 20
## 3669 2016-11-26 74000 56-65ys 5 ['web', 'email'] 20
## 3670 2017-11-05 42000 36-45ys 5 ['web', 'email'] 20
## 3671 2016-01-23 115000 56-65ys 5 ['web', 'email'] 20
## 3672 2015-12-20 114000 56-65ys 5 ['web', 'email'] 20
## 3673 2018-06-29 35000 46-55ys 5 ['web', 'email'] 20
## 3674 2016-07-09 75000 56-65ys 5 ['web', 'email'] 20
## 3675 2017-12-15 113000 46-55ys 5 ['web', 'email'] 20
## 3676 2014-02-11 37000 46-55ys 5 ['web', 'email'] 20
## 3677 2017-09-02 41000 36-45ys 5 ['web', 'email'] 20
## 3678 2017-02-05 43000 66-75ys 5 ['web', 'email'] 20
## 3679 2017-03-24 86000 36-45ys 5 ['web', 'email'] 20
## 3680 2017-12-31 66000 66-75ys 5 ['web', 'email'] 20
## 3681 2017-09-24 34000 18-25ys 5 ['web', 'email'] 20
## 3682 2017-05-03 88000 76-85ys 5 ['web', 'email'] 20
## 3683 2018-07-14 48000 76-85ys 5 ['web', 'email'] 20
## 3684 2017-05-17 38000 18-25ys 5 ['web', 'email'] 20
## 3685 2018-06-16 64000 18-25ys 5 ['web', 'email'] 20
## 3686 2016-11-18 43000 36-45ys 5 ['web', 'email'] 20
## 3687 2017-10-18 67000 26-35ys 5 ['web', 'email'] 20
## 3688 2015-09-28 65000 36-45ys 5 ['web', 'email'] 20
## 3689 2017-11-29 62000 46-55ys 5 ['web', 'email'] 20
## 3690 2018-02-17 47000 46-55ys 5 ['web', 'email'] 20
## 3691 2016-01-23 98000 36-45ys 5 ['web', 'email'] 20
## 3692 2018-04-30 96000 46-55ys 5 ['web', 'email'] 20
## 3693 2018-04-30 96000 46-55ys 5 ['web', 'email'] 20
## 3694 2018-01-26 53000 36-45ys 5 ['web', 'email'] 20
## 3695 2017-02-05 55000 46-55ys 5 ['web', 'email'] 20
## 3696 2017-01-10 73000 46-55ys 5 ['web', 'email'] 20
## 3697 2014-11-24 62000 26-35ys 5 ['web', 'email'] 20
## 3698 2017-09-13 33000 56-65ys 5 ['web', 'email'] 20
## 3699 2016-07-06 113000 76-85ys 5 ['web', 'email'] 20
## 3700 2017-01-01 71000 66-75ys 5 ['web', 'email'] 20
## 3701 2018-02-06 81000 36-45ys 5 ['web', 'email'] 20
## 3702 2018-07-13 38000 36-45ys 5 ['web', 'email'] 20
## 3703 2017-08-19 74000 > 86ys 5 ['web', 'email'] 20
## 3704 2018-01-02 57000 18-25ys 5 ['web', 'email'] 20
## 3705 2016-03-08 115000 66-75ys 5 ['web', 'email'] 20
## 3706 2016-10-17 66000 56-65ys 5 ['web', 'email'] 20
## 3707 2017-10-20 72000 18-25ys 5 ['web', 'email'] 20
## 3708 2016-03-07 34000 56-65ys 5 ['web', 'email'] 20
## 3709 2018-07-14 33000 46-55ys 5 ['web', 'email'] 20
## 3710 2015-02-11 82000 46-55ys 5 ['web', 'email'] 20
## 3711 2018-07-09 67000 56-65ys 5 ['web', 'email'] 20
## 3712 2017-11-20 94000 56-65ys 5 ['web', 'email'] 20
## 3713 2018-03-19 51000 26-35ys 5 ['web', 'email'] 20
## 3714 2016-02-17 95000 56-65ys 5 ['web', 'email'] 20
## 3715 2017-01-28 32000 26-35ys 5 ['web', 'email'] 20
## 3716 2016-09-30 61000 76-85ys 5 ['web', 'email'] 20
## 3717 2018-05-18 117000 66-75ys 5 ['web', 'email'] 20
## 3718 2017-12-01 36000 56-65ys 5 ['web', 'email'] 20
## 3719 2013-09-06 77000 66-75ys 5 ['web', 'email'] 20
## 3720 2016-03-09 52000 26-35ys 5 ['web', 'email'] 20
## 3721 2018-06-02 38000 56-65ys 5 ['web', 'email'] 20
## 3722 2018-06-16 65000 56-65ys 5 ['web', 'email'] 20
## 3723 2014-11-19 61000 46-55ys 5 ['web', 'email'] 20
## 3724 2018-01-22 63000 56-65ys 5 ['web', 'email'] 20
## 3725 2017-12-23 62000 46-55ys 5 ['web', 'email'] 20
## 3726 2018-04-25 67000 46-55ys 5 ['web', 'email'] 20
## 3727 2016-03-31 81000 36-45ys 5 ['web', 'email'] 20
## 3728 2016-04-13 72000 46-55ys 5 ['web', 'email'] 20
## 3729 2017-09-02 59000 36-45ys 5 ['web', 'email'] 20
## 3730 2018-07-18 81000 46-55ys 5 ['web', 'email'] 20
## 3731 2017-06-28 81000 46-55ys 5 ['web', 'email'] 20
## 3732 2017-11-19 72000 36-45ys 5 ['web', 'email'] 20
## 3733 2017-09-25 67000 36-45ys 5 ['web', 'email'] 20
## 3734 2017-06-27 104000 46-55ys 5 ['web', 'email'] 20
## 3735 2017-05-25 48000 56-65ys 5 ['web', 'email'] 20
## 3736 2017-08-13 45000 36-45ys 5 ['web', 'email'] 20
## 3737 2016-04-06 73000 18-25ys 5 ['web', 'email'] 20
## 3738 2015-08-19 83000 76-85ys 5 ['web', 'email'] 20
## 3739 2017-12-10 65000 46-55ys 5 ['web', 'email'] 20
## 3740 2017-12-06 42000 26-35ys 5 ['web', 'email'] 20
## 3741 2015-09-03 95000 > 86ys 5 ['web', 'email'] 20
## 3742 2016-06-18 45000 18-25ys 5 ['web', 'email'] 20
## 3743 2017-04-27 71000 36-45ys 5 ['web', 'email'] 20
## 3744 2018-06-27 57000 26-35ys 5 ['web', 'email'] 20
## 3745 2018-03-19 98000 56-65ys 5 ['web', 'email'] 20
## 3746 2017-09-06 44000 76-85ys 5 ['web', 'email'] 20
## 3747 2017-12-21 54000 36-45ys 5 ['web', 'email'] 20
## 3748 2017-12-14 54000 > 86ys 5 ['web', 'email'] 20
## 3749 2017-12-10 30000 46-55ys 5 ['web', 'email'] 20
## 3750 2017-09-01 76000 46-55ys 5 ['web', 'email'] 20
## 3751 2014-07-24 77000 46-55ys 5 ['web', 'email'] 20
## 3752 2018-06-07 83000 56-65ys 5 ['web', 'email'] 20
## 3753 2018-04-29 51000 66-75ys 5 ['web', 'email'] 20
## 3754 2015-12-22 57000 66-75ys 5 ['web', 'email'] 20
## 3755 2016-08-27 59000 66-75ys 5 ['web', 'email'] 20
## 3756 2018-06-14 54000 66-75ys 5 ['web', 'email'] 20
## 3757 2018-02-05 33000 18-25ys 5 ['web', 'email'] 20
## 3758 2015-06-08 71000 46-55ys 5 ['web', 'email'] 20
## 3759 2017-11-07 52000 76-85ys 5 ['web', 'email'] 20
## 3760 2018-02-05 33000 18-25ys 5 ['web', 'email'] 20
## 3761 2016-04-17 45000 66-75ys 5 ['web', 'email'] 20
## 3762 2018-04-16 99000 46-55ys 5 ['web', 'email'] 20
## 3763 2017-12-19 36000 36-45ys 5 ['web', 'email'] 20
## 3764 2016-09-01 96000 46-55ys 5 ['web', 'email'] 20
## 3765 2018-02-09 30000 56-65ys 5 ['web', 'email'] 20
## 3766 2018-07-22 61000 36-45ys 5 ['web', 'email'] 20
## 3767 2018-05-27 70000 36-45ys 5 ['web', 'email'] 20
## 3768 2017-01-24 82000 46-55ys 5 ['web', 'email'] 20
## 3769 2013-09-20 66000 46-55ys 5 ['web', 'email'] 20
## 3770 2017-01-24 82000 46-55ys 5 ['web', 'email'] 20
## 3771 2015-06-08 71000 46-55ys 5 ['web', 'email'] 20
## 3772 2017-05-14 75000 46-55ys 5 ['web', 'email'] 20
## 3773 2016-08-29 60000 36-45ys 5 ['web', 'email'] 20
## 3774 2018-03-17 37000 66-75ys 5 ['web', 'email'] 20
## 3775 2016-08-29 60000 36-45ys 5 ['web', 'email'] 20
## 3776 2016-09-23 57000 46-55ys 5 ['web', 'email'] 20
## 3777 2017-04-03 91000 36-45ys 5 ['web', 'email'] 20
## 3778 2017-01-08 86000 66-75ys 5 ['web', 'email'] 20
## 3779 2017-10-30 72000 66-75ys 5 ['web', 'email'] 20
## 3780 2018-06-26 63000 56-65ys 5 ['web', 'email'] 20
## 3781 2018-03-22 51000 56-65ys 5 ['web', 'email'] 20
## 3782 2014-04-04 41000 26-35ys 5 ['web', 'email'] 20
## 3783 2016-01-06 47000 46-55ys 5 ['web', 'email'] 20
## 3784 2017-11-27 52000 66-75ys 5 ['web', 'email'] 20
## 3785 2015-09-01 73000 46-55ys 5 ['web', 'email'] 20
## 3786 2016-08-04 111000 56-65ys 5 ['web', 'email'] 20
## 3787 2018-07-16 97000 56-65ys 5 ['web', 'email'] 20
## 3788 2018-07-12 100000 66-75ys 5 ['web', 'email'] 20
## 3789 2016-04-20 97000 46-55ys 5 ['web', 'email'] 20
## 3790 2018-07-16 97000 56-65ys 5 ['web', 'email'] 20
## 3791 2016-04-12 114000 76-85ys 5 ['web', 'email'] 20
## 3792 2016-04-12 114000 76-85ys 5 ['web', 'email'] 20
## 3793 2016-10-21 97000 36-45ys 5 ['web', 'email'] 20
## 3794 2016-08-24 107000 66-75ys 5 ['web', 'email'] 20
## 3795 2017-01-21 52000 26-35ys 5 ['web', 'email'] 20
## 3796 2016-02-19 80000 76-85ys 5 ['web', 'email'] 20
## 3797 2018-02-20 54000 36-45ys 5 ['web', 'email'] 20
## 3798 2017-07-31 42000 46-55ys 5 ['web', 'email'] 20
## 3799 2017-01-26 82000 66-75ys 5 ['web', 'email'] 20
## 3800 2018-06-30 36000 46-55ys 5 ['web', 'email'] 20
## 3801 2015-09-07 84000 66-75ys 5 ['web', 'email'] 20
## 3802 2017-01-15 51000 66-75ys 5 ['web', 'email'] 20
## 3803 2017-09-11 59000 56-65ys 5 ['web', 'email'] 20
## 3804 2017-03-12 67000 36-45ys 5 ['web', 'email'] 20
## 3805 2017-09-25 110000 56-65ys 5 ['web', 'email'] 20
## 3806 2018-06-30 36000 46-55ys 5 ['web', 'email'] 20
## 3807 2017-08-31 78000 56-65ys 5 ['web', 'email'] 20
## 3808 2017-09-29 33000 56-65ys 5 ['web', 'email'] 20
## 3809 2017-08-09 69000 36-45ys 5 ['web', 'email'] 20
## 3810 2015-11-28 61000 46-55ys 5 ['web', 'email'] 20
## 3811 2018-01-23 57000 46-55ys 5 ['web', 'email'] 20
## 3812 2018-01-23 57000 46-55ys 5 ['web', 'email'] 20
## 3813 2016-05-29 82000 56-65ys 5 ['web', 'email'] 20
## 3814 2017-05-30 108000 46-55ys 5 ['web', 'email'] 20
## 3815 2018-07-25 103000 76-85ys 5 ['web', 'email'] 20
## 3816 2017-04-08 35000 56-65ys 5 ['web', 'email'] 20
## 3817 2016-09-11 68000 66-75ys 5 ['web', 'email'] 20
## 3818 2015-08-26 93000 46-55ys 5 ['web', 'email'] 20
## 3819 2014-07-14 95000 46-55ys 5 ['web', 'email'] 20
## 3820 2017-02-03 75000 76-85ys 5 ['web', 'email'] 20
## 3821 2017-03-07 59000 46-55ys 5 ['web', 'email'] 20
## 3822 2018-05-29 69000 56-65ys 5 ['web', 'email'] 20
## 3823 2016-07-15 118000 46-55ys 5 ['web', 'email'] 20
## 3824 2017-10-04 50000 18-25ys 5 ['web', 'email'] 20
## 3825 2018-01-29 38000 36-45ys 5 ['web', 'email'] 20
## 3826 2016-12-16 72000 36-45ys 5 ['web', 'email'] 20
## 3827 2017-12-27 73000 56-65ys 5 ['web', 'email'] 20
## 3828 2017-08-12 50000 > 86ys 5 ['web', 'email'] 20
## 3829 2017-11-03 64000 76-85ys 5 ['web', 'email'] 20
## 3830 2018-07-24 35000 66-75ys 5 ['web', 'email'] 20
## 3831 2016-07-15 118000 46-55ys 5 ['web', 'email'] 20
## 3832 2018-04-30 52000 66-75ys 5 ['web', 'email'] 20
## 3833 2018-06-27 61000 56-65ys 5 ['web', 'email'] 20
## 3834 2018-03-30 96000 46-55ys 5 ['web', 'email'] 20
## 3835 2017-08-23 86000 66-75ys 5 ['web', 'email'] 20
## 3836 2018-03-24 65000 18-25ys 5 ['web', 'email'] 20
## 3837 2018-03-24 65000 18-25ys 5 ['web', 'email'] 20
## 3838 2017-04-15 80000 56-65ys 5 ['web', 'email'] 20
## 3839 2015-10-30 74000 46-55ys 5 ['web', 'email'] 20
## 3840 2018-03-08 84000 46-55ys 5 ['web', 'email'] 20
## 3841 2015-11-22 80000 76-85ys 5 ['web', 'email'] 20
## 3842 2018-03-10 44000 18-25ys 5 ['web', 'email'] 20
## 3843 2016-04-22 68000 36-45ys 5 ['web', 'email'] 20
## 3844 2017-08-15 119000 56-65ys 5 ['web', 'email'] 20
## 3845 2015-12-13 97000 66-75ys 5 ['web', 'email'] 20
## 3846 2018-03-24 65000 18-25ys 5 ['web', 'email'] 20
## 3847 2016-11-02 70000 56-65ys 5 ['web', 'email'] 20
## 3848 2017-08-28 68000 46-55ys 5 ['web', 'email'] 20
## 3849 2016-05-11 107000 76-85ys 5 ['web', 'email'] 20
## 3850 2016-08-04 41000 46-55ys 5 ['web', 'email'] 20
## 3851 2016-06-04 106000 56-65ys 5 ['web', 'email'] 20
## 3852 2016-12-07 106000 56-65ys 5 ['web', 'email'] 20
## 3853 2018-05-19 72000 56-65ys 5 ['web', 'email'] 20
## 3854 2016-01-07 78000 56-65ys 5 ['web', 'email'] 20
## 3855 2017-12-02 67000 66-75ys 5 ['web', 'email'] 20
## 3856 2017-10-20 34000 26-35ys 5 ['web', 'email'] 20
## 3857 2018-01-04 73000 66-75ys 5 ['web', 'email'] 20
## 3858 2013-08-11 31000 66-75ys 5 ['web', 'email'] 20
## 3859 2015-02-18 69000 36-45ys 5 ['web', 'email'] 20
## 3860 2017-05-06 68000 46-55ys 5 ['web', 'email'] 20
## 3861 2016-07-31 62000 36-45ys 5 ['web', 'email'] 20
## 3862 2016-03-27 91000 46-55ys 5 ['web', 'email'] 20
## 3863 2017-04-03 74000 56-65ys 5 ['web', 'email'] 20
## 3864 2018-01-23 42000 46-55ys 5 ['web', 'email'] 20
## 3865 2017-06-24 73000 56-65ys 5 ['web', 'email'] 20
## 3866 2016-08-05 87000 76-85ys 5 ['web', 'email'] 20
## 3867 2015-08-03 45000 46-55ys 5 ['web', 'email'] 20
## 3868 2016-03-19 81000 66-75ys 5 ['web', 'email'] 20
## 3869 2016-02-01 51000 56-65ys 5 ['web', 'email'] 20
## 3870 2017-10-22 120000 46-55ys 5 ['web', 'email'] 20
## 3871 2017-12-29 53000 36-45ys 5 ['web', 'email'] 20
## 3872 2017-05-24 58000 46-55ys 5 ['web', 'email'] 20
## 3873 2016-09-14 72000 36-45ys 5 ['web', 'email'] 20
## 3874 2015-12-19 69000 56-65ys 5 ['web', 'email'] 20
## 3875 2018-01-02 40000 18-25ys 5 ['web', 'email'] 20
## 3876 2016-10-14 102000 56-65ys 5 ['web', 'email'] 20
## 3877 2017-07-23 40000 56-65ys 5 ['web', 'email'] 20
## 3878 2016-07-07 35000 66-75ys 5 ['web', 'email'] 20
## 3879 2018-07-18 64000 56-65ys 5 ['web', 'email'] 20
## 3880 2017-03-12 60000 76-85ys 5 ['web', 'email'] 20
## 3881 2016-02-16 80000 46-55ys 5 ['web', 'email'] 20
## 3882 2018-04-26 32000 18-25ys 5 ['web', 'email'] 20
## 3883 2017-02-20 88000 66-75ys 5 ['web', 'email'] 20
## 3884 2018-05-25 70000 26-35ys 5 ['web', 'email'] 20
## 3885 2018-02-09 70000 76-85ys 5 ['web', 'email'] 20
## 3886 2017-09-22 81000 > 86ys 5 ['web', 'email'] 20
## 3887 2016-06-09 92000 26-35ys 5 ['web', 'email'] 20
## 3888 2016-09-05 78000 56-65ys 5 ['web', 'email'] 20
## 3889 2017-02-12 42000 46-55ys 5 ['web', 'email'] 20
## 3890 2016-05-15 56000 56-65ys 5 ['web', 'email'] 20
## 3891 2017-11-16 74000 66-75ys 5 ['web', 'email'] 20
## 3892 2018-03-27 70000 36-45ys 5 ['web', 'email'] 20
## 3893 2016-11-06 60000 18-25ys 5 ['web', 'email'] 20
## 3894 2015-01-29 57000 36-45ys 5 ['web', 'email'] 20
## 3895 2015-01-29 57000 36-45ys 5 ['web', 'email'] 20
## 3896 2016-08-31 51000 36-45ys 5 ['web', 'email'] 20
## 3897 2015-01-29 57000 36-45ys 5 ['web', 'email'] 20
## 3898 2016-12-03 57000 56-65ys 5 ['web', 'email'] 20
## 3899 2015-11-17 68000 76-85ys 5 ['web', 'email'] 20
## 3900 2017-11-02 56000 36-45ys 5 ['web', 'email'] 20
## 3901 2017-09-01 46000 36-45ys 5 ['web', 'email'] 20
## 3902 2014-05-11 68000 46-55ys 5 ['web', 'email'] 20
## 3903 2017-02-12 42000 46-55ys 5 ['web', 'email'] 20
## 3904 2014-02-04 57000 46-55ys 5 ['web', 'email'] 20
## 3905 2016-07-04 74000 66-75ys 5 ['web', 'email'] 20
## 3906 2016-10-31 36000 18-25ys 5 ['web', 'email'] 20
## 3907 2016-12-17 75000 66-75ys 5 ['web', 'email'] 20
## 3908 2017-05-31 65000 76-85ys 5 ['web', 'email'] 20
## 3909 2017-08-07 98000 46-55ys 5 ['web', 'email'] 20
## 3910 2015-09-21 57000 18-25ys 5 ['web', 'email'] 20
## 3911 2016-11-25 72000 18-25ys 5 ['web', 'email'] 20
## 3912 2017-12-13 85000 66-75ys 5 ['web', 'email'] 20
## 3913 2016-03-17 54000 56-65ys 5 ['web', 'email'] 20
## 3914 2017-04-09 100000 76-85ys 5 ['web', 'email'] 20
## 3915 2017-09-19 71000 46-55ys 5 ['web', 'email'] 20
## 3916 2017-09-25 44000 76-85ys 5 ['web', 'email'] 20
## 3917 2015-01-08 40000 26-35ys 5 ['web', 'email'] 20
## 3918 2017-09-05 90000 66-75ys 5 ['web', 'email'] 20
## 3919 2017-06-26 57000 66-75ys 5 ['web', 'email'] 20
## 3920 2016-11-16 78000 56-65ys 5 ['web', 'email'] 20
## 3921 2018-04-21 55000 36-45ys 5 ['web', 'email'] 20
## 3922 2017-07-01 74000 56-65ys 5 ['web', 'email'] 20
## 3923 2018-07-22 60000 46-55ys 5 ['web', 'email'] 20
## 3924 2017-05-15 113000 46-55ys 5 ['web', 'email'] 20
## 3925 2018-04-21 55000 36-45ys 5 ['web', 'email'] 20
## 3926 2017-07-24 33000 26-35ys 5 ['web', 'email'] 20
## 3927 2017-09-08 83000 66-75ys 5 ['web', 'email'] 20
## 3928 2018-02-24 40000 56-65ys 5 ['web', 'email'] 20
## 3929 2016-07-07 43000 66-75ys 5 ['web', 'email'] 20
## 3930 2016-10-26 51000 56-65ys 5 ['web', 'email'] 20
## 3931 2018-03-20 43000 26-35ys 5 ['web', 'email'] 20
## 3932 2017-09-27 55000 46-55ys 5 ['web', 'email'] 20
## 3933 2017-09-21 97000 46-55ys 5 ['web', 'email'] 20
## 3934 2015-11-18 72000 46-55ys 5 ['web', 'email'] 20
## 3935 2018-01-05 100000 56-65ys 5 ['web', 'email'] 20
## 3936 2017-02-16 82000 36-45ys 5 ['web', 'email'] 20
## 3937 2016-09-28 33000 76-85ys 5 ['web', 'email'] 20
## 3938 2015-12-21 31000 56-65ys 5 ['web', 'email'] 20
## 3939 2018-06-18 59000 56-65ys 5 ['web', 'email'] 20
## 3940 2017-04-01 57000 66-75ys 5 ['web', 'email'] 20
## 3941 2017-10-25 49000 > 86ys 5 ['web', 'email'] 20
## 3942 2015-08-06 55000 36-45ys 5 ['web', 'email'] 20
## 3943 2018-06-18 59000 56-65ys 5 ['web', 'email'] 20
## 3944 2018-06-21 66000 46-55ys 5 ['web', 'email'] 20
## 3945 2017-02-16 82000 36-45ys 5 ['web', 'email'] 20
## 3946 2017-10-17 33000 46-55ys 5 ['web', 'email'] 20
## 3947 2016-03-10 39000 66-75ys 5 ['web', 'email'] 20
## 3948 2018-03-01 36000 26-35ys 5 ['web', 'email'] 20
## 3949 2014-11-14 34000 46-55ys 5 ['web', 'email'] 20
## 3950 2017-01-12 103000 66-75ys 5 ['web', 'email'] 20
## 3951 2014-11-13 34000 66-75ys 5 ['web', 'email'] 20
## 3952 2014-04-02 68000 26-35ys 5 ['web', 'email'] 20
## 3953 2018-03-20 108000 56-65ys 5 ['web', 'email'] 20
## 3954 2018-01-23 63000 36-45ys 5 ['web', 'email'] 20
## 3955 2015-11-07 42000 56-65ys 5 ['web', 'email'] 20
## 3956 2016-09-13 72000 56-65ys 5 ['web', 'email'] 20
## 3957 2018-07-12 57000 66-75ys 5 ['web', 'email'] 20
## 3958 2016-08-02 84000 56-65ys 5 ['web', 'email'] 20
## 3959 2017-09-12 98000 56-65ys 5 ['web', 'email'] 20
## 3960 2016-02-05 99000 56-65ys 5 ['web', 'email'] 20
## 3961 2017-08-07 68000 18-25ys 5 ['web', 'email'] 20
## 3962 2015-11-21 66000 36-45ys 5 ['web', 'email'] 20
## 3963 2018-02-07 77000 66-75ys 5 ['web', 'email'] 20
## 3964 2015-10-19 68000 56-65ys 5 ['web', 'email'] 20
## 3965 2018-01-15 68000 66-75ys 5 ['web', 'email'] 20
## 3966 2014-03-29 42000 36-45ys 5 ['web', 'email'] 20
## 3967 2016-12-28 84000 36-45ys 5 ['web', 'email'] 20
## 3968 2017-04-02 53000 18-25ys 5 ['web', 'email'] 20
## 3969 2016-09-21 54000 36-45ys 5 ['web', 'email'] 20
## 3970 2018-06-17 47000 26-35ys 5 ['web', 'email'] 20
## 3971 2017-09-01 105000 46-55ys 5 ['web', 'email'] 20
## 3972 2015-11-21 66000 36-45ys 5 ['web', 'email'] 20
## 3973 2015-11-07 42000 56-65ys 5 ['web', 'email'] 20
## 3974 2018-01-24 31000 36-45ys 5 ['web', 'email'] 20
## 3975 2016-07-02 73000 56-65ys 5 ['web', 'email'] 20
## 3976 2018-01-30 45000 56-65ys 5 ['web', 'email'] 20
## 3977 2018-04-17 72000 76-85ys 5 ['web', 'email'] 20
## 3978 2018-07-15 59000 66-75ys 5 ['web', 'email'] 20
## 3979 2016-05-22 98000 66-75ys 5 ['web', 'email'] 20
## 3980 2018-07-01 36000 66-75ys 5 ['web', 'email'] 20
## 3981 2016-09-28 102000 76-85ys 5 ['web', 'email'] 20
## 3982 2018-01-13 71000 46-55ys 5 ['web', 'email'] 20
## 3983 2015-10-07 66000 76-85ys 5 ['web', 'email'] 20
## 3984 2015-08-31 73000 56-65ys 5 ['web', 'email'] 20
## 3985 2016-10-20 73000 46-55ys 5 ['web', 'email'] 20
## 3986 2017-11-19 34000 26-35ys 5 ['web', 'email'] 20
## 3987 2014-03-03 82000 56-65ys 5 ['web', 'email'] 20
## 3988 2017-03-23 33000 26-35ys 5 ['web', 'email'] 20
## 3989 2016-04-02 85000 46-55ys 5 ['web', 'email'] 20
## 3990 2016-05-22 98000 66-75ys 5 ['web', 'email'] 20
## 3991 2013-10-29 55000 66-75ys 5 ['web', 'email'] 20
## 3992 2017-09-29 99000 66-75ys 5 ['web', 'email'] 20
## 3993 2018-01-09 100000 76-85ys 5 ['web', 'email'] 20
## 3994 2018-06-27 44000 > 86ys 5 ['web', 'email'] 20
## 3995 2018-06-24 31000 66-75ys 5 ['web', 'email'] 20
## 3996 2017-09-16 72000 46-55ys 5 ['web', 'email'] 20
## 3997 2017-03-26 36000 46-55ys 5 ['web', 'email'] 20
## 3998 2016-03-05 89000 36-45ys 5 ['web', 'email'] 20
## 3999 2017-12-24 107000 56-65ys 5 ['web', 'email'] 20
## 4000 2016-07-26 80000 56-65ys 5 ['web', 'email'] 20
## 4001 2017-07-03 76000 66-75ys 5 ['web', 'email'] 20
## 4002 2017-09-11 73000 26-35ys 5 ['web', 'email'] 20
## 4003 2017-12-25 74000 76-85ys 5 ['web', 'email'] 20
## 4004 2015-10-02 89000 66-75ys 5 ['web', 'email'] 20
## 4005 2018-05-11 63000 66-75ys 5 ['web', 'email'] 20
## 4006 2018-01-28 57000 56-65ys 5 ['web', 'email'] 20
## 4007 2014-10-04 50000 36-45ys 5 ['web', 'email'] 20
## 4008 2018-05-14 56000 56-65ys 5 ['web', 'email'] 20
## 4009 2015-05-02 66000 76-85ys 5 ['web', 'email'] 20
## 4010 2015-10-08 68000 56-65ys 5 ['web', 'email'] 20
## 4011 2015-12-07 86000 46-55ys 5 ['web', 'email'] 20
## 4012 2016-04-15 66000 36-45ys 5 ['web', 'email'] 20
## 4013 2018-05-19 77000 66-75ys 5 ['web', 'email'] 20
## 4014 2017-08-16 106000 76-85ys 5 ['web', 'email'] 20
## 4015 2018-06-21 111000 56-65ys 5 ['web', 'email'] 20
## 4016 2017-11-20 53000 46-55ys 5 ['web', 'email'] 20
## 4017 2014-09-25 56000 46-55ys 5 ['web', 'email'] 20
## 4018 2018-04-22 52000 56-65ys 5 ['web', 'email'] 20
## 4019 2015-09-29 42000 26-35ys 5 ['web', 'email'] 20
## 4020 2018-03-19 46000 46-55ys 5 ['web', 'email'] 20
## 4021 2016-06-19 33000 26-35ys 5 ['web', 'email'] 20
## 4022 2017-09-28 57000 76-85ys 5 ['web', 'email'] 20
## 4023 2015-07-28 97000 46-55ys 5 ['web', 'email'] 20
## 4024 2016-08-25 66000 56-65ys 5 ['web', 'email'] 20
## 4025 2016-05-13 43000 46-55ys 5 ['web', 'email'] 20
## 4026 2018-05-17 62000 36-45ys 5 ['web', 'email'] 20
## 4027 2014-08-05 55000 18-25ys 5 ['web', 'email'] 20
## 4028 2016-11-15 53000 18-25ys 5 ['web', 'email'] 20
## 4029 2018-05-25 78000 46-55ys 5 ['web', 'email'] 20
## 4030 2017-06-06 79000 46-55ys 5 ['web', 'email'] 20
## 4031 2017-08-15 43000 26-35ys 5 ['web', 'email'] 20
## 4032 2018-04-27 57000 > 86ys 5 ['web', 'email'] 20
## 4033 2017-02-22 71000 66-75ys 5 ['web', 'email'] 20
## 4034 2018-03-07 103000 56-65ys 5 ['web', 'email'] 20
## 4035 2014-01-07 30000 66-75ys 5 ['web', 'email'] 20
## 4036 2015-12-23 64000 46-55ys 5 ['web', 'email'] 20
## 4037 2016-08-02 112000 46-55ys 5 ['web', 'email'] 20
## 4038 2015-09-03 85000 36-45ys 5 ['web', 'email'] 20
## 4039 2016-12-15 110000 76-85ys 5 ['web', 'email'] 20
## 4040 2017-07-28 69000 46-55ys 5 ['web', 'email'] 20
## 4041 2015-12-31 41000 46-55ys 5 ['web', 'email'] 20
## 4042 2015-02-16 43000 46-55ys 5 ['web', 'email'] 20
## 4043 2017-07-05 69000 26-35ys 5 ['web', 'email'] 20
## 4044 2015-04-25 53000 46-55ys 5 ['web', 'email'] 20
## 4045 2016-08-10 92000 46-55ys 5 ['web', 'email'] 20
## 4046 2018-07-06 51000 36-45ys 5 ['web', 'email'] 20
## 4047 2017-12-05 92000 36-45ys 5 ['web', 'email'] 20
## 4048 2017-12-29 81000 66-75ys 5 ['web', 'email'] 20
## 4049 2018-04-10 91000 46-55ys 5 ['web', 'email'] 20
## 4050 2018-01-09 57000 36-45ys 5 ['web', 'email'] 20
## 4051 2016-11-21 65000 46-55ys 5 ['web', 'email'] 20
## 4052 2017-06-21 88000 46-55ys 5 ['web', 'email'] 20
## 4053 2015-12-12 85000 36-45ys 5 ['web', 'email'] 20
## 4054 2018-04-10 91000 46-55ys 5 ['web', 'email'] 20
## 4055 2015-10-10 118000 56-65ys 5 ['web', 'email'] 20
## 4056 2017-09-06 109000 56-65ys 5 ['web', 'email'] 20
## 4057 2017-06-21 88000 46-55ys 5 ['web', 'email'] 20
## 4058 2018-03-09 81000 76-85ys 5 ['web', 'email'] 20
## 4059 2016-04-21 109000 66-75ys 5 ['web', 'email'] 20
## 4060 2017-12-21 32000 26-35ys 5 ['web', 'email'] 20
## 4061 2017-10-08 73000 18-25ys 5 ['web', 'email'] 20
## 4062 2016-06-09 63000 18-25ys 5 ['web', 'email'] 20
## 4063 2017-04-25 61000 36-45ys 5 ['web', 'email'] 20
## 4064 2017-12-26 79000 > 86ys 5 ['web', 'email'] 20
## 4065 2017-08-31 70000 36-45ys 5 ['web', 'email'] 20
## 4066 2017-12-07 53000 36-45ys 5 ['web', 'email'] 20
## 4067 2015-10-25 43000 18-25ys 5 ['web', 'email'] 20
## 4068 2016-01-09 42000 36-45ys 5 ['web', 'email'] 20
## 4069 2017-11-16 34000 46-55ys 5 ['web', 'email'] 20
## 4070 2018-07-10 71000 56-65ys 5 ['web', 'email'] 20
## 4071 2018-01-20 51000 56-65ys 5 ['web', 'email'] 20
## 4072 2018-03-12 32000 66-75ys 5 ['web', 'email'] 20
## 4073 2016-10-14 105000 66-75ys 5 ['web', 'email'] 20
## 4074 2017-09-02 89000 56-65ys 5 ['web', 'email'] 20
## 4075 2015-10-15 98000 46-55ys 5 ['web', 'email'] 20
## 4076 2015-12-05 62000 46-55ys 5 ['web', 'email'] 20
## 4077 2018-01-27 88000 56-65ys 5 ['web', 'email'] 20
## 4078 2017-09-15 60000 26-35ys 5 ['web', 'email'] 20
## 4079 2016-12-31 95000 66-75ys 5 ['web', 'email'] 20
## 4080 2017-04-26 41000 56-65ys 5 ['web', 'email'] 20
## 4081 2017-08-18 68000 66-75ys 5 ['web', 'email'] 20
## 4082 2017-05-20 54000 46-55ys 5 ['web', 'email'] 20
## 4083 2017-08-24 54000 > 86ys 5 ['web', 'email'] 20
## 4084 2017-12-04 93000 56-65ys 5 ['web', 'email'] 20
## 4085 2017-08-24 54000 > 86ys 5 ['web', 'email'] 20
## 4086 2016-09-03 38000 36-45ys 5 ['web', 'email'] 20
## 4087 2018-03-12 32000 66-75ys 5 ['web', 'email'] 20
## 4088 2016-04-07 59000 66-75ys 5 ['web', 'email'] 20
## 4089 2017-11-06 70000 36-45ys 5 ['web', 'email'] 20
## 4090 2018-01-19 83000 46-55ys 5 ['web', 'email'] 20
## 4091 2016-08-04 103000 46-55ys 5 ['web', 'email'] 20
## 4092 2014-07-12 36000 46-55ys 5 ['web', 'email'] 20
## 4093 2017-08-10 63000 56-65ys 5 ['web', 'email'] 20
## 4094 2018-03-21 59000 46-55ys 5 ['web', 'email'] 20
## 4095 2017-12-04 52000 76-85ys 5 ['web', 'email'] 20
## 4096 2017-09-08 64000 66-75ys 5 ['web', 'email'] 20
## 4097 2018-07-12 87000 66-75ys 5 ['web', 'email'] 20
## 4098 2018-05-07 36000 56-65ys 5 ['web', 'email'] 20
## 4099 2016-03-29 85000 36-45ys 5 ['web', 'email'] 20
## 4100 2018-04-23 59000 56-65ys 5 ['web', 'email'] 20
## 4101 2016-06-01 108000 66-75ys 5 ['web', 'email'] 20
## 4102 2018-03-09 47000 66-75ys 5 ['web', 'email'] 20
## 4103 2017-09-25 67000 36-45ys 5 ['web', 'email'] 20
## 4104 2015-02-26 68000 > 86ys 5 ['web', 'email'] 20
## 4105 2017-09-02 59000 36-45ys 5 ['web', 'email'] 20
## 4106 2017-01-01 37000 36-45ys 5 ['web', 'email'] 20
## 4107 2018-05-28 44000 26-35ys 5 ['web', 'email'] 20
## 4108 2016-09-07 66000 76-85ys 5 ['web', 'email'] 20
## 4109 2017-04-18 80000 66-75ys 5 ['web', 'email'] 20
## 4110 2017-02-22 63000 36-45ys 5 ['web', 'email'] 20
## 4111 2017-08-22 91000 56-65ys 5 ['web', 'email'] 20
## 4112 2015-08-30 76000 46-55ys 5 ['web', 'email'] 20
## 4113 2017-10-10 73000 46-55ys 5 ['web', 'email'] 20
## 4114 2015-08-30 76000 46-55ys 5 ['web', 'email'] 20
## 4115 2016-09-06 115000 66-75ys 5 ['web', 'email'] 20
## 4116 2016-11-24 74000 18-25ys 5 ['web', 'email'] 20
## 4117 2014-03-12 68000 56-65ys 5 ['web', 'email'] 20
## 4118 2016-03-29 85000 36-45ys 5 ['web', 'email'] 20
## 4119 2016-08-11 82000 36-45ys 5 ['web', 'email'] 20
## 4120 2016-12-07 44000 56-65ys 5 ['web', 'email'] 20
## 4121 2016-02-21 44000 36-45ys 5 ['web', 'email'] 20
## 4122 2018-03-09 71000 56-65ys 5 ['web', 'email'] 20
## 4123 2018-05-25 86000 36-45ys 5 ['web', 'email'] 20
## 4124 2017-06-21 73000 18-25ys 5 ['web', 'email'] 20
## 4125 2016-03-26 66000 26-35ys 5 ['web', 'email'] 20
## 4126 2016-05-11 33000 26-35ys 5 ['web', 'email'] 20
## 4127 2016-01-18 40000 56-65ys 5 ['web', 'email'] 20
## 4128 2017-11-09 76000 66-75ys 5 ['web', 'email'] 20
## 4129 2017-11-13 97000 56-65ys 5 ['web', 'email'] 20
## 4130 2017-04-01 33000 66-75ys 5 ['web', 'email'] 20
## 4131 2017-10-17 73000 56-65ys 5 ['web', 'email'] 20
## 4132 2018-01-19 36000 66-75ys 5 ['web', 'email'] 20
## 4133 2018-01-23 113000 46-55ys 5 ['web', 'email'] 20
## 4134 2017-02-03 38000 46-55ys 5 ['web', 'email'] 20
## 4135 2018-07-24 97000 66-75ys 5 ['web', 'email'] 20
## 4136 2016-01-13 73000 66-75ys 5 ['web', 'email'] 20
## 4137 2016-09-06 89000 66-75ys 5 ['web', 'email'] 20
## 4138 2017-02-07 59000 18-25ys 5 ['web', 'email'] 20
## 4139 2014-09-09 64000 76-85ys 5 ['web', 'email'] 20
## 4140 2016-12-12 96000 56-65ys 5 ['web', 'email'] 20
## 4141 2018-02-14 37000 56-65ys 5 ['web', 'email'] 20
## 4142 2017-08-31 82000 46-55ys 5 ['web', 'email'] 20
## 4143 2018-06-27 98000 56-65ys 5 ['web', 'email'] 20
## 4144 2016-05-12 86000 46-55ys 5 ['web', 'email'] 20
## 4145 2017-01-26 73000 56-65ys 5 ['web', 'email'] 20
## 4146 2018-05-05 56000 26-35ys 5 ['web', 'email'] 20
## 4147 2018-07-06 96000 46-55ys 5 ['web', 'email'] 20
## 4148 2016-08-12 57000 56-65ys 5 ['web', 'email'] 20
## 4149 2018-07-15 57000 > 86ys 5 ['web', 'email'] 20
## 4150 2017-02-23 73000 66-75ys 5 ['web', 'email'] 20
## 4151 2018-01-16 92000 36-45ys 5 ['web', 'email'] 20
## 4152 2017-07-31 61000 56-65ys 5 ['web', 'email'] 20
## 4153 2018-01-16 92000 36-45ys 5 ['web', 'email'] 20
## 4154 2016-01-06 47000 46-55ys 5 ['web', 'email'] 20
## 4155 2018-06-29 35000 66-75ys 5 ['web', 'email'] 20
## 4156 2018-03-02 47000 56-65ys 5 ['web', 'email'] 20
## 4157 2017-06-04 56000 76-85ys 5 ['web', 'email'] 20
## 4158 2016-04-17 110000 46-55ys 5 ['web', 'email'] 20
## 4159 2017-04-25 89000 56-65ys 5 ['web', 'email'] 20
## 4160 2018-07-24 41000 46-55ys 5 ['web', 'email'] 20
## 4161 2017-08-31 59000 26-35ys 5 ['web', 'email'] 20
## 4162 2017-01-30 57000 36-45ys 5 ['web', 'email'] 20
## 4163 2017-07-21 84000 36-45ys 5 ['web', 'email'] 20
## 4164 2016-01-13 71000 56-65ys 5 ['web', 'email'] 20
## 4165 2017-03-05 75000 26-35ys 5 ['web', 'email'] 20
## 4166 2018-05-16 84000 36-45ys 5 ['web', 'email'] 20
## 4167 2018-02-08 31000 56-65ys 5 ['web', 'email'] 20
## 4168 2018-02-08 31000 56-65ys 5 ['web', 'email'] 20
## 4169 2018-07-22 33000 36-45ys 5 ['web', 'email'] 20
## 4170 2017-01-30 120000 56-65ys 5 ['web', 'email'] 20
## 4171 2018-03-03 97000 46-55ys 5 ['web', 'email'] 20
## 4172 2015-10-29 33000 26-35ys 5 ['web', 'email'] 20
## 4173 2017-11-11 34000 36-45ys 5 ['web', 'email'] 20
## 4174 2018-01-09 32000 66-75ys 5 ['web', 'email'] 20
## 4175 2018-06-17 34000 36-45ys 5 ['web', 'email'] 20
## 4176 2018-01-20 91000 76-85ys 5 ['web', 'email'] 20
## 4177 2017-10-01 73000 46-55ys 5 ['web', 'email'] 20
## 4178 2017-08-09 69000 36-45ys 5 ['web', 'email'] 20
## 4179 2017-09-25 33000 26-35ys 5 ['web', 'email'] 20
## 4180 2016-06-24 95000 36-45ys 5 ['web', 'email'] 20
## 4181 2017-09-25 33000 26-35ys 5 ['web', 'email'] 20
## 4182 2018-04-20 40000 > 86ys 5 ['web', 'email'] 20
## 4183 2017-04-08 35000 56-65ys 5 ['web', 'email'] 20
## 4184 2016-04-28 110000 46-55ys 5 ['web', 'email'] 20
## 4185 2015-12-18 114000 46-55ys 5 ['web', 'email'] 20
## 4186 2018-07-22 50000 36-45ys 5 ['web', 'email'] 20
## 4187 2016-04-28 67000 76-85ys 5 ['web', 'email'] 20
## 4188 2016-12-31 66000 26-35ys 5 ['web', 'email'] 20
## 4189 2017-02-19 54000 66-75ys 5 ['web', 'email'] 20
## 4190 2018-03-21 54000 56-65ys 5 ['web', 'email'] 20
## 4191 2018-06-26 93000 76-85ys 5 ['web', 'email'] 20
## 4192 2016-10-02 68000 46-55ys 5 ['web', 'email'] 20
## 4193 2017-09-19 67000 36-45ys 5 ['web', 'email'] 20
## 4194 2017-06-20 98000 > 86ys 5 ['web', 'email'] 20
## 4195 2016-05-01 73000 36-45ys 5 ['web', 'email'] 20
## 4196 2017-09-01 43000 76-85ys 5 ['web', 'email'] 20
## 4197 2018-05-06 82000 56-65ys 5 ['web', 'email'] 20
## 4198 2017-05-16 56000 66-75ys 5 ['web', 'email'] 20
## 4199 2016-07-29 80000 46-55ys 5 ['web', 'email'] 20
## 4200 2016-06-12 48000 46-55ys 5 ['web', 'email'] 20
## 4201 2017-09-09 96000 36-45ys 5 ['web', 'email'] 20
## 4202 2014-06-11 73000 18-25ys 5 ['web', 'email'] 20
## 4203 2016-04-20 82000 36-45ys 5 ['web', 'email'] 20
## 4204 2016-05-01 73000 36-45ys 5 ['web', 'email'] 20
## 4205 2016-08-03 110000 66-75ys 5 ['web', 'email'] 20
## 4206 2017-11-08 55000 66-75ys 5 ['web', 'email'] 20
## 4207 2017-01-10 60000 36-45ys 5 ['web', 'email'] 20
## 4208 2013-12-13 57000 66-75ys 5 ['web', 'email'] 20
## 4209 2016-05-25 75000 56-65ys 5 ['web', 'email'] 20
## 4210 2018-03-05 35000 26-35ys 5 ['web', 'email'] 20
## 4211 2018-02-21 89000 46-55ys 5 ['web', 'email'] 20
## 4212 2016-04-10 66000 56-65ys 5 ['web', 'email'] 20
## 4213 2017-11-21 69000 66-75ys 5 ['web', 'email'] 20
## 4214 2017-02-20 73000 46-55ys 5 ['web', 'email'] 20
## 4215 2015-02-23 54000 46-55ys 5 ['web', 'email'] 20
## 4216 2018-07-18 51000 56-65ys 5 ['web', 'email'] 20
## 4217 2017-12-23 34000 56-65ys 5 ['web', 'email'] 20
## 4218 2018-01-09 36000 46-55ys 5 ['web', 'email'] 20
## 4219 2018-01-04 73000 66-75ys 5 ['web', 'email'] 20
## 4220 2017-11-09 43000 26-35ys 5 ['web', 'email'] 20
## 4221 2017-08-03 31000 36-45ys 5 ['web', 'email'] 20
## 4222 2018-01-23 42000 46-55ys 5 ['web', 'email'] 20
## 4223 2017-06-24 73000 56-65ys 5 ['web', 'email'] 20
## 4224 2018-05-01 60000 66-75ys 5 ['web', 'email'] 20
## 4225 2014-09-29 51000 46-55ys 5 ['web', 'email'] 20
## 4226 2017-12-24 70000 46-55ys 5 ['web', 'email'] 20
## 4227 2018-02-07 70000 56-65ys 5 ['web', 'email'] 20
## 4228 2015-08-24 82000 66-75ys 5 ['web', 'email'] 20
## 4229 2017-03-01 64000 36-45ys 5 ['web', 'email'] 20
## 4230 2017-11-11 106000 66-75ys 5 ['web', 'email'] 20
## 4231 2017-10-22 63000 36-45ys 5 ['web', 'email'] 20
## 4232 2018-01-18 67000 66-75ys 5 ['web', 'email'] 20
## 4233 2017-10-04 94000 46-55ys 5 ['web', 'email'] 20
## 4234 2016-03-12 67000 36-45ys 5 ['web', 'email'] 20
## 4235 2016-12-21 66000 36-45ys 5 ['web', 'email'] 20
## 4236 2017-01-26 119000 46-55ys 5 ['web', 'email'] 20
## 4237 2017-05-30 53000 36-45ys 5 ['web', 'email'] 20
## 4238 2015-10-15 47000 46-55ys 5 ['web', 'email'] 20
## 4239 2017-11-14 52000 26-35ys 5 ['web', 'email'] 20
## 4240 2017-04-06 67000 36-45ys 5 ['web', 'email'] 20
## 4241 2017-02-20 41000 26-35ys 5 ['web', 'email'] 20
## 4242 2017-08-01 76000 46-55ys 5 ['web', 'email'] 20
## 4243 2017-08-01 76000 46-55ys 5 ['web', 'email'] 20
## 4244 2016-01-08 69000 46-55ys 5 ['web', 'email'] 20
## 4245 2017-12-12 38000 66-75ys 5 ['web', 'email'] 20
## 4246 2018-04-10 99000 56-65ys 5 ['web', 'email'] 20
## 4247 2018-03-22 56000 18-25ys 5 ['web', 'email'] 20
## 4248 2015-12-04 78000 56-65ys 5 ['web', 'email'] 20
## 4249 2015-11-03 53000 18-25ys 5 ['web', 'email'] 20
## 4250 2018-02-06 87000 56-65ys 5 ['web', 'email'] 20
## 4251 2018-05-24 55000 56-65ys 5 ['web', 'email'] 20
## 4252 2018-05-29 105000 46-55ys 5 ['web', 'email'] 20
## 4253 2017-09-26 38000 18-25ys 5 ['web', 'email'] 20
## 4254 2017-11-01 100000 36-45ys 5 ['web', 'email'] 20
## 4255 2016-03-23 60000 46-55ys 5 ['web', 'email'] 20
## 4256 2018-04-01 74000 46-55ys 5 ['web', 'email'] 20
## 4257 2018-05-24 55000 56-65ys 5 ['web', 'email'] 20
## 4258 2017-05-11 50000 36-45ys 5 ['web', 'email'] 20
## 4259 2017-08-24 95000 56-65ys 5 ['web', 'email'] 20
## 4260 2016-05-18 48000 36-45ys 5 ['web', 'email'] 20
## 4261 2014-03-20 70000 46-55ys 5 ['web', 'email'] 20
## 4262 2016-08-31 94000 56-65ys 5 ['web', 'email'] 20
## 4263 2017-06-16 51000 56-65ys 5 ['web', 'email'] 20
## 4264 2017-09-17 69000 36-45ys 5 ['web', 'email'] 20
## 4265 2017-11-26 81000 46-55ys 5 ['web', 'email'] 20
## 4266 2017-09-17 69000 36-45ys 5 ['web', 'email'] 20
## 4267 2017-10-20 83000 66-75ys 5 ['web', 'email'] 20
## 4268 2018-04-05 45000 46-55ys 5 ['web', 'email'] 20
## 4269 2018-07-02 37000 46-55ys 5 ['web', 'email'] 20
## 4270 2017-08-24 95000 56-65ys 5 ['web', 'email'] 20
## 4271 2016-08-16 78000 56-65ys 5 ['web', 'email'] 20
## 4272 2018-04-15 71000 76-85ys 5 ['web', 'email'] 20
## 4273 2018-01-09 85000 > 86ys 5 ['web', 'email'] 20
## 4274 2016-07-26 55000 66-75ys 5 ['web', 'email'] 20
## 4275 2016-08-11 62000 76-85ys 5 ['web', 'email'] 20
## 4276 2018-07-02 69000 76-85ys 5 ['web', 'email'] 20
## 4277 2017-03-24 40000 18-25ys 5 ['web', 'email'] 20
## 4278 2016-05-22 55000 > 86ys 5 ['web', 'email'] 20
## 4279 2017-09-30 71000 66-75ys 5 ['web', 'email'] 20
## 4280 2017-05-09 63000 18-25ys 5 ['web', 'email'] 20
## 4281 2018-01-08 118000 66-75ys 5 ['web', 'email'] 20
## 4282 2016-02-15 74000 > 86ys 5 ['web', 'email'] 20
## 4283 2017-07-10 69000 56-65ys 5 ['web', 'email'] 20
## 4284 2014-12-09 63000 26-35ys 5 ['web', 'email'] 20
## 4285 2018-02-20 57000 46-55ys 5 ['web', 'email'] 20
## 4286 2016-11-29 85000 46-55ys 5 ['web', 'email'] 20
## 4287 2018-04-15 64000 56-65ys 5 ['web', 'email'] 20
## 4288 2017-03-09 80000 66-75ys 5 ['web', 'email'] 20
## 4289 2018-01-10 77000 56-65ys 5 ['web', 'email'] 20
## 4290 2018-02-24 51000 46-55ys 5 ['web', 'email'] 20
## 4291 2016-12-09 91000 56-65ys 5 ['web', 'email'] 20
## 4292 2016-09-08 96000 46-55ys 5 ['web', 'email'] 20
## 4293 2015-10-12 41000 76-85ys 5 ['web', 'email'] 20
## 4294 2018-01-10 77000 56-65ys 5 ['web', 'email'] 20
## 4295 2016-02-01 70000 56-65ys 5 ['web', 'email'] 20
## 4296 2017-05-19 48000 46-55ys 5 ['web', 'email'] 20
## 4297 2016-06-18 88000 66-75ys 5 ['web', 'email'] 20
## 4298 2018-07-18 109000 76-85ys 5 ['web', 'email'] 20
## 4299 2018-06-07 53000 46-55ys 5 ['web', 'email'] 20
## 4300 2017-05-19 48000 46-55ys 5 ['web', 'email'] 20
## 4301 2016-01-18 100000 66-75ys 5 ['web', 'email'] 20
## 4302 2018-02-17 33000 26-35ys 5 ['web', 'email'] 20
## 4303 2016-08-24 80000 56-65ys 5 ['web', 'email'] 20
## 4304 2016-06-14 78000 76-85ys 5 ['web', 'email'] 20
## 4305 2018-05-03 35000 46-55ys 5 ['web', 'email'] 20
## 4306 2017-11-20 87000 56-65ys 5 ['web', 'email'] 20
## 4307 2018-06-02 35000 76-85ys 5 ['web', 'email'] 20
## 4308 2016-07-14 90000 66-75ys 5 ['web', 'email'] 20
## 4309 2017-12-26 63000 56-65ys 5 ['web', 'email'] 20
## 4310 2017-03-04 54000 56-65ys 5 ['web', 'email'] 20
## 4311 2017-03-09 77000 56-65ys 5 ['web', 'email'] 20
## 4312 2018-01-08 67000 36-45ys 5 ['web', 'email'] 20
## 4313 2015-11-07 42000 56-65ys 5 ['web', 'email'] 20
## 4314 2017-07-22 37000 26-35ys 5 ['web', 'email'] 20
## 4315 2018-05-31 61000 56-65ys 5 ['web', 'email'] 20
## 4316 2017-02-20 64000 56-65ys 5 ['web', 'email'] 20
## 4317 2017-08-22 75000 76-85ys 5 ['web', 'email'] 20
## 4318 2017-02-20 59000 56-65ys 5 ['web', 'email'] 20
## 4319 2018-05-08 56000 18-25ys 5 ['web', 'email'] 20
## 4320 2018-01-15 89000 66-75ys 5 ['web', 'email'] 20
## 4321 2017-09-23 41000 26-35ys 5 ['web', 'email'] 20
## 4322 2017-07-26 95000 > 86ys 5 ['web', 'email'] 20
## 4323 2014-03-12 68000 46-55ys 5 ['web', 'email'] 20
## 4324 2017-12-06 77000 56-65ys 5 ['web', 'email'] 20
## 4325 2016-03-16 72000 76-85ys 5 ['web', 'email'] 20
## 4326 2018-06-13 89000 46-55ys 5 ['web', 'email'] 20
## 4327 2017-07-26 95000 > 86ys 5 ['web', 'email'] 20
## 4328 2017-09-04 54000 26-35ys 5 ['web', 'email'] 20
## 4329 2017-07-21 109000 66-75ys 5 ['web', 'email'] 20
## 4330 2016-01-27 58000 26-35ys 5 ['web', 'email'] 20
## 4331 2017-03-20 103000 46-55ys 5 ['web', 'email'] 20
## 4332 2016-12-23 32000 46-55ys 5 ['web', 'email'] 20
## 4333 2018-01-23 65000 46-55ys 5 ['web', 'email'] 20
## 4334 2017-12-10 37000 36-45ys 5 ['web', 'email'] 20
## 4335 2017-04-11 71000 36-45ys 5 ['web', 'email'] 20
## 4336 2016-10-24 76000 66-75ys 5 ['web', 'email'] 20
## 4337 2016-09-06 108000 56-65ys 5 ['web', 'email'] 20
## 4338 2016-02-14 70000 46-55ys 5 ['web', 'email'] 20
## 4339 2017-09-07 54000 46-55ys 5 ['web', 'email'] 20
## 4340 2016-01-27 58000 26-35ys 5 ['web', 'email'] 20
## 4341 2017-08-15 86000 66-75ys 5 ['web', 'email'] 20
## 4342 2016-02-02 56000 36-45ys 5 ['web', 'email'] 20
## 4343 2016-07-20 75000 66-75ys 5 ['web', 'email'] 20
## 4344 2017-05-19 84000 56-65ys 5 ['web', 'email'] 20
## 4345 2018-01-19 103000 46-55ys 5 ['web', 'email'] 20
## 4346 2017-08-08 82000 46-55ys 5 ['web', 'email'] 20
## 4347 2018-02-21 76000 46-55ys 5 ['web', 'email'] 20
## 4348 2015-08-06 55000 56-65ys 5 ['web', 'email'] 20
## 4349 2014-08-02 42000 18-25ys 5 ['web', 'email'] 20
## 4350 2016-04-30 51000 36-45ys 5 ['web', 'email'] 20
## 4351 2018-02-21 76000 46-55ys 5 ['web', 'email'] 20
## 4352 2017-03-16 85000 46-55ys 5 ['web', 'email'] 20
## 4353 2016-06-09 69000 46-55ys 5 ['web', 'email'] 20
## 4354 2016-09-02 64000 46-55ys 5 ['web', 'email'] 20
## 4355 2018-02-18 50000 56-65ys 5 ['web', 'email'] 20
## 4356 2018-02-12 79000 46-55ys 5 ['web', 'email'] 20
## 4357 2018-02-18 50000 56-65ys 5 ['web', 'email'] 20
## 4358 2017-10-17 62000 46-55ys 5 ['web', 'email'] 20
## 4359 2014-11-11 71000 46-55ys 5 ['web', 'email'] 20
## 4360 2016-06-24 58000 46-55ys 5 ['web', 'email'] 20
## 4361 2015-03-22 73000 18-25ys 5 ['web', 'email'] 20
## 4362 2018-06-22 33000 56-65ys 5 ['web', 'email'] 20
## 4363 2017-12-05 90000 46-55ys 5 ['web', 'email'] 20
## 4364 2013-12-19 33000 26-35ys 5 ['web', 'email'] 20
## 4365 2018-06-22 33000 56-65ys 5 ['web', 'email'] 20
## 4366 2017-09-05 98000 46-55ys 5 ['web', 'email'] 20
## 4367 2016-01-16 86000 56-65ys 5 ['web', 'email'] 20
## 4368 2014-02-13 46000 18-25ys 5 ['web', 'email'] 20
## 4369 2017-11-18 50000 36-45ys 5 ['web', 'email'] 20
## 4370 2017-10-04 71000 > 86ys 5 ['web', 'email'] 20
## 4371 2015-03-22 73000 18-25ys 5 ['web', 'email'] 20
## 4372 2017-08-15 81000 66-75ys 5 ['web', 'email'] 20
## 4373 2018-03-30 98000 36-45ys 5 ['web', 'email'] 20
## 4374 2018-04-20 59000 46-55ys 5 ['web', 'email'] 20
## 4375 2018-06-05 73000 76-85ys 5 ['web', 'email'] 20
## 4376 2017-10-25 97000 56-65ys 5 ['web', 'email'] 20
## 4377 2016-03-12 44000 66-75ys 5 ['web', 'email'] 20
## 4378 2018-04-25 66000 46-55ys 5 ['web', 'email'] 20
## 4379 2018-01-24 75000 66-75ys 5 ['web', 'email'] 20
## 4380 2014-07-16 49000 26-35ys 5 ['web', 'email'] 20
## 4381 2016-03-22 32000 66-75ys 5 ['web', 'email'] 20
## 4382 2017-12-11 69000 46-55ys 5 ['web', 'email'] 20
## 4383 2016-11-20 93000 46-55ys 5 ['web', 'email'] 20
## 4384 2017-06-03 111000 56-65ys 5 ['web', 'email'] 20
## 4385 2017-12-11 69000 46-55ys 5 ['web', 'email'] 20
## 4386 2017-12-28 107000 76-85ys 5 ['web', 'email'] 20
## 4387 2018-05-17 43000 46-55ys 5 ['web', 'email'] 20
## 4388 2017-10-04 67000 56-65ys 5 ['web', 'email'] 20
## 4389 2016-08-26 89000 46-55ys 5 ['web', 'email'] 20
## 4390 2016-07-28 51000 > 86ys 5 ['web', 'email'] 20
## 4391 2017-02-04 82000 46-55ys 5 ['web', 'email'] 20
## 4392 2016-05-04 79000 36-45ys 5 ['web', 'email'] 20
## 4393 2015-10-08 43000 18-25ys 5 ['web', 'email'] 20
## 4394 2016-01-04 51000 36-45ys 5 ['web', 'email'] 20
## 4395 2016-01-30 115000 56-65ys 5 ['web', 'email'] 20
## 4396 2017-09-15 70000 36-45ys 5 ['web', 'email'] 20
## 4397 2016-11-09 89000 46-55ys 5 ['web', 'email'] 20
## 4398 2017-07-24 89000 > 86ys 5 ['web', 'email'] 20
## 4399 2014-03-14 49000 46-55ys 5 ['web', 'email'] 20
## 4400 2015-03-30 61000 46-55ys 5 ['web', 'email'] 20
## 4401 2015-03-08 54000 66-75ys 5 ['web', 'email'] 20
## 4402 2016-01-27 84000 76-85ys 5 ['web', 'email'] 20
## 4403 2018-01-29 65000 46-55ys 5 ['web', 'email'] 20
## 4404 2018-05-22 54000 46-55ys 5 ['web', 'email'] 20
## 4405 2017-07-24 89000 > 86ys 5 ['web', 'email'] 20
## 4406 2017-11-20 74000 46-55ys 5 ['web', 'email'] 20
## 4407 2017-11-20 56000 56-65ys 5 ['web', 'email'] 20
## 4408 2015-04-25 53000 46-55ys 5 ['web', 'email'] 20
## 4409 2018-07-01 73000 56-65ys 5 ['web', 'email'] 20
## 4410 2017-09-10 64000 > 86ys 5 ['web', 'email'] 20
## 4411 2018-07-06 51000 36-45ys 5 ['web', 'email'] 20
## 4412 2017-12-04 110000 66-75ys 5 ['web', 'email'] 20
## 4413 2016-02-19 33000 36-45ys 5 ['web', 'email'] 20
## 4414 2018-07-21 72000 > 86ys 5 ['web', 'email'] 20
## 4415 2016-07-09 75000 56-65ys 5 ['web', 'email'] 20
## 4416 2016-11-29 52000 18-25ys 5 ['web', 'email'] 20
## 4417 2018-01-05 46000 66-75ys 5 ['web', 'email'] 20
## 4418 2016-08-21 63000 46-55ys 5 ['web', 'email'] 20
## 4419 2018-04-08 39000 66-75ys 5 ['web', 'email'] 20
## 4420 2017-12-04 110000 66-75ys 5 ['web', 'email'] 20
## 4421 2018-01-29 31000 26-35ys 5 ['web', 'email'] 20
## 4422 2018-07-19 89000 46-55ys 5 ['web', 'email'] 20
## 4423 2014-08-08 64000 66-75ys 5 ['web', 'email'] 20
## 4424 2018-06-22 117000 56-65ys 5 ['web', 'email'] 20
## 4425 2017-09-10 30000 76-85ys 5 ['web', 'email'] 20
## 4426 2015-11-26 74000 76-85ys 5 ['web', 'email'] 20
## 4427 2017-06-25 77000 66-75ys 5 ['web', 'email'] 20
## 4428 2017-12-27 45000 26-35ys 5 ['web', 'email'] 20
## 4429 2017-06-01 78000 66-75ys 5 ['web', 'email'] 20
## 4430 2017-10-16 83000 46-55ys 5 ['web', 'email'] 20
## 4431 2018-04-15 40000 36-45ys 5 ['web', 'email'] 20
## 4432 2015-12-04 45000 36-45ys 5 ['web', 'email'] 20
## 4433 2016-04-07 64000 56-65ys 5 ['web', 'email'] 20
## 4434 2017-12-14 72000 56-65ys 5 ['web', 'email'] 20
## 4435 2016-01-03 47000 76-85ys 5 ['web', 'email'] 20
## 4436 2014-06-11 76000 46-55ys 5 ['web', 'email'] 20
## 4437 2017-11-20 51000 46-55ys 5 ['web', 'email'] 20
## 4438 2018-01-02 50000 46-55ys 5 ['web', 'email'] 20
## 4439 2017-01-07 59000 26-35ys 5 ['web', 'email'] 20
## 4440 2018-07-17 36000 56-65ys 5 ['web', 'email'] 20
## 4441 2017-10-24 61000 46-55ys 5 ['web', 'email'] 20
## 4442 2017-08-15 78000 46-55ys 5 ['web', 'email'] 20
## 4443 2017-08-05 61000 56-65ys 5 ['web', 'email'] 20
## 4444 2015-08-04 66000 36-45ys 5 ['web', 'email'] 20
## 4445 2013-11-12 71000 56-65ys 5 ['web', 'email'] 20
## 4446 2018-02-02 91000 56-65ys 5 ['web', 'email'] 20
## 4447 2016-08-04 103000 46-55ys 5 ['web', 'email'] 20
## 4448 2018-03-25 56000 46-55ys 5 ['web', 'email'] 20
## 4449 2015-10-14 84000 46-55ys 5 ['web', 'email'] 20
## 4450 2014-05-26 75000 46-55ys 5 ['web', 'email'] 20
## 4451 2015-12-20 97000 66-75ys 5 ['web', 'email'] 20
## 4452 2015-12-20 97000 66-75ys 5 ['web', 'email'] 20
## 4453 2015-08-22 56000 26-35ys 5 ['web', 'email'] 20
## 4454 2016-10-09 72000 46-55ys 5 ['web', 'email'] 20
## 4455 2017-06-23 94000 46-55ys 5 ['web', 'email'] 20
## 4456 2016-09-01 78000 46-55ys 5 ['web', 'email'] 20
## 4457 2016-04-03 48000 18-25ys 5 ['web', 'email'] 20
## 4458 2014-02-12 71000 66-75ys 5 ['web', 'email'] 20
## 4459 2018-07-18 81000 46-55ys 5 ['web', 'email'] 20
## 4460 2017-10-09 46000 66-75ys 5 ['web', 'email'] 20
## 4461 2017-09-28 40000 26-35ys 5 ['web', 'email'] 20
## 4462 2018-04-17 57000 46-55ys 5 ['web', 'email'] 20
## 4463 2017-08-07 58000 76-85ys 5 ['web', 'email'] 20
## 4464 2016-08-02 115000 56-65ys 5 ['web', 'email'] 20
## 4465 2015-01-01 74000 46-55ys 5 ['web', 'email'] 20
## 4466 2017-09-26 52000 26-35ys 5 ['web', 'email'] 20
## 4467 2018-03-21 59000 46-55ys 5 ['web', 'email'] 20
## 4468 2016-07-19 95000 36-45ys 5 ['web', 'email'] 20
## 4469 2016-04-01 72000 36-45ys 5 ['web', 'email'] 20
## 4470 2017-09-08 64000 66-75ys 5 ['web', 'email'] 20
## 4471 2016-11-23 51000 26-35ys 5 ['web', 'email'] 20
## 4472 2017-06-27 104000 46-55ys 5 ['web', 'email'] 20
## 4473 2018-06-21 53000 26-35ys 5 ['web', 'email'] 20
## 4474 2017-09-24 99000 56-65ys 5 ['web', 'email'] 20
## 4475 2016-04-13 72000 46-55ys 5 ['web', 'email'] 20
## 4476 2016-05-01 38000 18-25ys 5 ['web', 'email'] 20
## 4477 2017-03-16 41000 56-65ys 5 ['web', 'email'] 20
## 4478 2018-04-30 68000 46-55ys 5 ['web', 'email'] 20
## 4479 2016-11-15 57000 46-55ys 5 ['web', 'email'] 20
## 4480 2017-08-29 64000 56-65ys 5 ['web', 'email'] 20
## 4481 2018-07-20 63000 18-25ys 5 ['web', 'email'] 20
## 4482 2017-12-31 42000 56-65ys 5 ['web', 'email'] 20
## 4483 2014-04-24 80000 56-65ys 5 ['web', 'email'] 20
## 4484 2017-08-23 57000 36-45ys 5 ['web', 'email'] 20
## 4485 2017-10-22 76000 56-65ys 5 ['web', 'email'] 20
## 4486 2017-10-31 86000 36-45ys 5 ['web', 'email'] 20
## 4487 2018-06-18 95000 66-75ys 5 ['web', 'email'] 20
## 4488 2017-10-14 103000 46-55ys 5 ['web', 'email'] 20
## 4489 2015-10-08 40000 66-75ys 5 ['web', 'email'] 20
## 4490 2014-04-15 92000 46-55ys 5 ['web', 'email'] 20
## 4491 2016-12-16 97000 56-65ys 5 ['web', 'email'] 20
## 4492 2016-10-17 69000 36-45ys 5 ['web', 'email'] 20
## 4493 2017-07-20 118000 46-55ys 5 ['web', 'email'] 20
## 4494 2016-10-09 83000 36-45ys 5 ['web', 'email'] 20
## 4495 2016-04-26 67000 46-55ys 5 ['web', 'email'] 20
## 4496 2016-07-12 91000 56-65ys 5 ['web', 'email'] 20
## 4497 2016-10-09 83000 36-45ys 5 ['web', 'email'] 20
## 4498 2017-07-23 87000 46-55ys 5 ['web', 'email'] 20
## 4499 2017-12-03 75000 46-55ys 5 ['web', 'email'] 20
## 4500 2017-12-29 66000 46-55ys 5 ['web', 'email'] 20
## 4501 2015-12-23 82000 66-75ys 5 ['web', 'email'] 20
## 4502 2016-04-10 96000 56-65ys 5 ['web', 'email'] 20
## 4503 2016-09-14 40000 36-45ys 5 ['web', 'email'] 20
## 4504 2017-09-21 36000 46-55ys 5 ['web', 'email'] 20
## 4505 2016-05-15 51000 56-65ys 5 ['web', 'email'] 20
## 4506 2017-04-11 68000 46-55ys 5 ['web', 'email'] 20
## 4507 2018-02-01 59000 36-45ys 5 ['web', 'email'] 20
## 4508 2017-07-23 87000 46-55ys 5 ['web', 'email'] 20
## 4509 2018-06-10 40000 46-55ys 5 ['web', 'email'] 20
## 4510 2017-04-21 108000 66-75ys 5 ['web', 'email'] 20
## 4511 2017-11-23 66000 46-55ys 5 ['web', 'email'] 20
## 4512 2017-01-19 98000 46-55ys 5 ['web', 'email'] 20
## 4513 2016-10-27 89000 56-65ys 5 ['web', 'email'] 20
## 4514 2016-01-09 64000 56-65ys 5 ['web', 'email'] 20
## 4515 2017-11-30 72000 66-75ys 5 ['web', 'email'] 20
## 4516 2017-09-12 70000 56-65ys 5 ['web', 'email'] 20
## 4517 2016-09-11 72000 18-25ys 5 ['web', 'email'] 20
## 4518 2013-11-12 79000 36-45ys 5 ['web', 'email'] 20
## 4519 2016-07-30 36000 36-45ys 5 ['web', 'email'] 20
## 4520 2016-01-31 90000 66-75ys 5 ['web', 'email'] 20
## 4521 2017-12-09 58000 18-25ys 5 ['web', 'email'] 20
## 4522 2016-03-31 95000 46-55ys 5 ['web', 'email'] 20
## 4523 2018-01-30 67000 56-65ys 5 ['web', 'email'] 20
## 4524 2017-03-08 85000 46-55ys 5 ['web', 'email'] 20
## 4525 2018-07-21 76000 46-55ys 5 ['web', 'email'] 20
## 4526 2016-10-18 116000 66-75ys 5 ['web', 'email'] 20
## 4527 2017-12-04 108000 76-85ys 5 ['web', 'email'] 20
## 4528 2016-07-30 36000 36-45ys 5 ['web', 'email'] 20
## 4529 2018-05-13 88000 56-65ys 5 ['web', 'email'] 20
## 4530 2017-08-13 75000 56-65ys 5 ['web', 'email'] 20
## 4531 2017-11-11 80000 46-55ys 5 ['web', 'email'] 20
## 4532 2016-08-04 74000 56-65ys 5 ['web', 'email'] 20
## 4533 2017-12-06 78000 66-75ys 5 ['web', 'email'] 20
## 4534 2016-12-17 39000 > 86ys 5 ['web', 'email'] 20
## 4535 2018-02-20 94000 46-55ys 5 ['web', 'email'] 20
## 4536 2015-03-31 61000 46-55ys 5 ['web', 'email'] 20
## 4537 2017-10-04 61000 36-45ys 5 ['web', 'email'] 20
## 4538 2018-01-23 56000 46-55ys 5 ['web', 'email'] 20
## 4539 2017-12-04 108000 76-85ys 5 ['web', 'email'] 20
## 4540 2017-07-05 89000 56-65ys 5 ['web', 'email'] 20
## 4541 2013-11-10 66000 46-55ys 5 ['web', 'email'] 20
## 4542 2018-05-25 43000 36-45ys 5 ['web', 'email'] 20
## 4543 2017-05-08 99000 56-65ys 5 ['web', 'email'] 20
## 4544 2017-11-09 41000 46-55ys 5 ['web', 'email'] 20
## 4545 2018-04-23 50000 46-55ys 5 ['web', 'email'] 20
## 4546 2013-10-08 72000 76-85ys 5 ['web', 'email'] 20
## 4547 2017-10-04 71000 46-55ys 5 ['web', 'email'] 20
## 4548 2018-01-04 40000 26-35ys 5 ['web', 'email'] 20
## 4549 2015-08-23 89000 56-65ys 5 ['web', 'email'] 20
## 4550 2018-06-26 93000 76-85ys 5 ['web', 'email'] 20
## 4551 2018-06-19 89000 66-75ys 5 ['web', 'email'] 20
## 4552 2018-04-08 50000 26-35ys 5 ['web', 'email'] 20
## 4553 2017-12-08 81000 46-55ys 5 ['web', 'email'] 20
## 4554 2018-06-17 96000 56-65ys 5 ['web', 'email'] 20
## 4555 2016-05-29 42000 56-65ys 5 ['web', 'email'] 20
## 4556 2017-08-12 36000 36-45ys 5 ['web', 'email'] 20
## 4557 2014-03-17 99000 36-45ys 5 ['web', 'email'] 20
## 4558 2017-08-12 36000 36-45ys 5 ['web', 'email'] 20
## 4559 2017-05-18 53000 > 86ys 5 ['web', 'email'] 20
## 4560 2016-05-31 41000 18-25ys 5 ['web', 'email'] 20
## 4561 2017-05-18 53000 > 86ys 5 ['web', 'email'] 20
## 4562 2017-11-18 51000 36-45ys 5 ['web', 'email'] 20
## 4563 2013-11-22 34000 76-85ys 5 ['web', 'email'] 20
## 4564 2018-05-29 37000 66-75ys 5 ['web', 'email'] 20
## 4565 2017-09-06 62000 76-85ys 5 ['web', 'email'] 20
## 4566 2018-05-29 37000 66-75ys 5 ['web', 'email'] 20
## 4567 2017-09-12 56000 36-45ys 5 ['web', 'email'] 20
## 4568 2017-02-22 75000 26-35ys 5 ['web', 'email'] 20
## 4569 2017-10-09 32000 36-45ys 5 ['web', 'email'] 20
## 4570 2017-11-17 45000 36-45ys 5 ['web', 'email'] 20
## 4571 2016-12-26 118000 46-55ys 5 ['web', 'email'] 20
## 4572 2017-01-31 107000 46-55ys 5 ['web', 'email'] 20
## 4573 2017-09-02 92000 56-65ys 5 ['web', 'email'] 20
## 4574 2017-09-02 92000 56-65ys 5 ['web', 'email'] 20
## 4575 2017-10-15 42000 36-45ys 5 ['web', 'email'] 20
## 4576 2015-09-27 87000 56-65ys 5 ['web', 'email'] 20
## 4577 2017-04-21 51000 26-35ys 5 ['web', 'email'] 20
## 4578 2016-10-06 56000 46-55ys 5 ['web', 'email'] 20
## 4579 2016-10-01 96000 76-85ys 5 ['web', 'email'] 20
## 4580 2014-06-11 73000 18-25ys 5 ['web', 'email'] 20
## 4581 2016-12-26 118000 46-55ys 5 ['web', 'email'] 20
## 4582 2013-08-22 98000 56-65ys 5 ['web', 'email'] 20
## 4583 2014-07-13 68000 46-55ys 5 ['web', 'email'] 20
## 4584 2017-07-05 54000 36-45ys 5 ['web', 'email'] 20
## 4585 2016-05-19 83000 46-55ys 5 ['web', 'email'] 20
## 4586 2017-09-29 55000 66-75ys 5 ['web', 'email'] 20
## 4587 2018-05-22 67000 46-55ys 5 ['web', 'email'] 20
## 4588 2013-10-06 90000 46-55ys 5 ['web', 'email'] 20
## 4589 2017-07-02 90000 46-55ys 5 ['web', 'email'] 20
## 4590 2018-07-07 44000 56-65ys 5 ['web', 'email'] 20
## 4591 2017-08-27 58000 36-45ys 5 ['web', 'email'] 20
## 4592 2015-03-12 83000 46-55ys 5 ['web', 'email'] 20
## 4593 2015-09-30 74000 76-85ys 5 ['web', 'email'] 20
## 4594 2017-12-04 45000 56-65ys 5 ['web', 'email'] 20
## 4595 2017-11-14 53000 36-45ys 5 ['web', 'email'] 20
## 4596 2016-04-11 78000 76-85ys 5 ['web', 'email'] 20
## 4597 2018-06-20 73000 66-75ys 5 ['web', 'email'] 20
## 4598 2015-08-09 53000 36-45ys 5 ['web', 'email'] 20
## 4599 2017-08-27 41000 46-55ys 5 ['web', 'email'] 20
## 4600 2017-10-07 53000 46-55ys 5 ['web', 'email'] 20
## 4601 2016-02-14 64000 > 86ys 5 ['web', 'email'] 20
## 4602 2018-06-20 73000 66-75ys 5 ['web', 'email'] 20
## 4603 2017-10-09 70000 56-65ys 5 ['web', 'email'] 20
## 4604 2015-12-19 69000 56-65ys 5 ['web', 'email'] 20
## 4605 2017-12-07 119000 56-65ys 5 ['web', 'email'] 20
## 4606 2018-02-06 85000 56-65ys 5 ['web', 'email'] 20
## 4607 2014-11-14 76000 76-85ys 5 ['web', 'email'] 20
## 4608 2017-01-20 98000 66-75ys 5 ['web', 'email'] 20
## 4609 2018-07-14 34000 > 86ys 5 ['web', 'email'] 20
## 4610 2016-02-26 65000 66-75ys 5 ['web', 'email'] 20
## 4611 2015-10-01 50000 56-65ys 5 ['web', 'email'] 20
## 4612 2017-04-07 64000 66-75ys 5 ['web', 'email'] 20
## 4613 2018-04-22 48000 26-35ys 5 ['web', 'email'] 20
## 4614 2013-10-26 74000 26-35ys 5 ['web', 'email'] 20
## 4615 2015-10-02 36000 26-35ys 5 ['web', 'email'] 20
## 4616 2018-06-18 45000 56-65ys 5 ['web', 'email'] 20
## 4617 2015-10-03 86000 56-65ys 5 ['web', 'email'] 20
## 4618 2017-01-10 55000 46-55ys 5 ['web', 'email'] 20
## 4619 2014-10-07 54000 56-65ys 5 ['web', 'email'] 20
## 4620 2017-09-03 74000 66-75ys 5 ['web', 'email'] 20
## 4621 2018-04-22 48000 26-35ys 5 ['web', 'email'] 20
## 4622 2018-04-20 37000 36-45ys 5 ['web', 'email'] 20
## 4623 2018-03-12 45000 36-45ys 5 ['web', 'email'] 20
## 4624 2018-03-27 70000 26-35ys 5 ['web', 'email'] 20
## 4625 2017-10-18 49000 46-55ys 5 ['web', 'email'] 20
## 4626 2017-10-25 89000 36-45ys 5 ['web', 'email'] 20
## 4627 2018-05-22 49000 46-55ys 5 ['web', 'email'] 20
## 4628 2015-02-28 64000 36-45ys 5 ['web', 'email'] 20
## 4629 2017-06-30 39000 46-55ys 5 ['web', 'email'] 20
## 4630 2016-08-13 40000 56-65ys 5 ['web', 'email'] 20
## 4631 2016-10-31 36000 18-25ys 5 ['web', 'email'] 20
## 4632 2017-06-21 83000 36-45ys 5 ['web', 'email'] 20
## 4633 2017-08-25 35000 56-65ys 5 ['web', 'email'] 20
## 4634 2018-05-22 49000 46-55ys 5 ['web', 'email'] 20
## 4635 2017-08-08 50000 46-55ys 5 ['web', 'email'] 20
## 4636 2016-10-18 53000 46-55ys 5 ['web', 'email'] 20
## 4637 2016-07-15 40000 76-85ys 5 ['web', 'email'] 20
## 4638 2017-12-10 72000 36-45ys 5 ['web', 'email'] 20
## 4639 2016-02-17 84000 46-55ys 5 ['web', 'email'] 20
## 4640 2017-08-17 63000 36-45ys 5 ['web', 'email'] 20
## 4641 2018-06-05 67000 76-85ys 5 ['web', 'email'] 20
## 4642 2017-08-07 98000 46-55ys 5 ['web', 'email'] 20
## 4643 2017-05-20 98000 56-65ys 5 ['web', 'email'] 20
## 4644 2017-09-29 54000 46-55ys 5 ['web', 'email'] 20
## 4645 2018-06-08 45000 46-55ys 5 ['web', 'email'] 20
## 4646 2018-06-08 45000 46-55ys 5 ['web', 'email'] 20
## 4647 2018-02-21 74000 26-35ys 5 ['web', 'email'] 20
## 4648 2018-01-21 63000 36-45ys 5 ['web', 'email'] 20
## 4649 2017-05-20 98000 56-65ys 5 ['web', 'email'] 20
## 4650 2015-11-21 64000 36-45ys 5 ['web', 'email'] 20
## 4651 2016-04-02 38000 46-55ys 5 ['web', 'email'] 20
## 4652 2014-04-29 51000 66-75ys 5 ['web', 'email'] 20
## 4653 2017-12-21 59000 36-45ys 5 ['web', 'email'] 20
## 4654 2015-07-28 34000 66-75ys 5 ['web', 'email'] 20
## 4655 2018-03-13 51000 18-25ys 5 ['web', 'email'] 20
## 4656 2016-04-06 95000 66-75ys 5 ['web', 'email'] 20
## 4657 2015-12-29 68000 66-75ys 5 ['web', 'email'] 20
## 4658 2018-02-05 55000 36-45ys 5 ['web', 'email'] 20
## 4659 2015-11-21 53000 46-55ys 5 ['web', 'email'] 20
## 4660 2016-04-02 38000 46-55ys 5 ['web', 'email'] 20
## 4661 2017-12-13 71000 56-65ys 5 ['web', 'email'] 20
## 4662 2015-10-26 39000 36-45ys 5 ['web', 'email'] 20
## 4663 2016-09-29 81000 56-65ys 5 ['web', 'email'] 20
## 4664 2015-10-27 74000 36-45ys 5 ['web', 'email'] 20
## 4665 2017-02-09 54000 46-55ys 5 ['web', 'email'] 20
## 4666 2017-01-10 59000 18-25ys 5 ['web', 'email'] 20
## 4667 2018-05-06 55000 46-55ys 5 ['web', 'email'] 20
## 4668 2016-03-09 72000 46-55ys 5 ['web', 'email'] 20
## 4669 2014-09-23 54000 76-85ys 5 ['web', 'email'] 20
## 4670 2015-12-13 60000 56-65ys 5 ['web', 'email'] 20
## 4671 2013-10-22 33000 56-65ys 5 ['web', 'email'] 20
## 4672 2016-09-29 81000 56-65ys 5 ['web', 'email'] 20
## 4673 2017-09-12 71000 56-65ys 5 ['web', 'email'] 20
## 4674 2018-04-03 48000 56-65ys 5 ['web', 'email'] 20
## 4675 2015-12-04 80000 26-35ys 5 ['web', 'email'] 20
## 4676 2017-02-11 52000 56-65ys 5 ['web', 'email'] 20
## 4677 2018-04-17 64000 46-55ys 5 ['web', 'email'] 20
## 4678 2017-11-07 90000 66-75ys 5 ['web', 'email'] 20
## 4679 2016-03-15 100000 66-75ys 5 ['web', 'email'] 20
## 4680 2018-04-05 58000 56-65ys 5 ['web', 'email'] 20
## 4681 2016-11-06 98000 56-65ys 5 ['web', 'email'] 20
## 4682 2018-07-17 50000 46-55ys 5 ['web', 'email'] 20
## 4683 2018-05-01 75000 46-55ys 5 ['web', 'email'] 20
## 4684 2017-11-24 64000 56-65ys 5 ['web', 'email'] 20
## 4685 2015-08-03 102000 66-75ys 5 ['web', 'email'] 20
## 4686 2018-01-12 59000 26-35ys 5 ['web', 'email'] 20
## 4687 2016-03-15 100000 66-75ys 5 ['web', 'email'] 20
## 4688 2017-11-24 64000 56-65ys 5 ['web', 'email'] 20
## 4689 2016-06-03 55000 46-55ys 5 ['web', 'email'] 20
## 4690 2018-05-01 63000 > 86ys 5 ['web', 'email'] 20
## 4691 2016-12-10 96000 > 86ys 5 ['web', 'email'] 20
## 4692 2017-07-19 61000 76-85ys 5 ['web', 'email'] 20
## 4693 2016-03-14 84000 46-55ys 5 ['web', 'email'] 20
## 4694 2017-08-06 60000 36-45ys 5 ['web', 'email'] 20
## 4695 2018-04-17 72000 76-85ys 5 ['web', 'email'] 20
## 4696 2017-04-02 53000 18-25ys 5 ['web', 'email'] 20
## 4697 2016-12-28 84000 36-45ys 5 ['web', 'email'] 20
## 4698 2017-07-17 110000 66-75ys 5 ['web', 'email'] 20
## 4699 2018-07-12 55000 26-35ys 5 ['web', 'email'] 20
## 4700 2015-08-26 70000 46-55ys 5 ['web', 'email'] 20
## 4701 2018-06-04 58000 56-65ys 5 ['web', 'email'] 20
## 4702 2017-12-12 58000 56-65ys 5 ['web', 'email'] 20
## 4703 2016-04-30 59000 46-55ys 5 ['web', 'email'] 20
## 4704 2017-10-19 53000 26-35ys 5 ['web', 'email'] 20
## 4705 2015-08-26 70000 46-55ys 5 ['web', 'email'] 20
## 4706 2016-02-11 54000 36-45ys 5 ['web', 'email'] 20
## 4707 2017-08-24 65000 26-35ys 5 ['web', 'email'] 20
## 4708 2018-03-25 59000 36-45ys 5 ['web', 'email'] 20
## 4709 2017-11-23 74000 46-55ys 5 ['web', 'email'] 20
## 4710 2017-02-26 56000 36-45ys 5 ['web', 'email'] 20
## 4711 2018-04-11 70000 26-35ys 5 ['web', 'email'] 20
## 4712 2016-08-16 57000 76-85ys 5 ['web', 'email'] 20
## 4713 2017-04-12 96000 36-45ys 5 ['web', 'email'] 20
## 4714 2018-07-07 88000 46-55ys 5 ['web', 'email'] 20
## 4715 2017-04-12 96000 36-45ys 5 ['web', 'email'] 20
## 4716 2017-04-12 96000 36-45ys 5 ['web', 'email'] 20
## 4717 2018-01-07 113000 46-55ys 5 ['web', 'email'] 20
## 4718 2016-09-05 77000 36-45ys 5 ['web', 'email'] 20
## 4719 2016-04-28 88000 46-55ys 5 ['web', 'email'] 20
## 4720 2018-05-02 59000 66-75ys 5 ['web', 'email'] 20
## 4721 2016-05-01 81000 66-75ys 5 ['web', 'email'] 20
## 4722 2017-09-15 69000 18-25ys 5 ['web', 'email'] 20
## 4723 2018-04-06 67000 56-65ys 5 ['web', 'email'] 20
## 4724 2016-12-14 90000 66-75ys 5 ['web', 'email'] 20
## 4725 2018-05-09 54000 46-55ys 5 ['web', 'email'] 20
## 4726 2016-04-28 88000 46-55ys 5 ['web', 'email'] 20
## 4727 2015-10-30 74000 66-75ys 5 ['web', 'email'] 20
## 4728 2018-07-24 65000 66-75ys 5 ['web', 'email'] 20
## 4729 2017-09-27 118000 56-65ys 5 ['web', 'email'] 20
## 4730 2018-01-23 90000 46-55ys 5 ['web', 'email'] 20
## 4731 2015-06-01 44000 46-55ys 5 ['web', 'email'] 20
## 4732 2016-09-05 77000 36-45ys 5 ['web', 'email'] 20
## 4733 2017-09-14 73000 56-65ys 5 ['web', 'email'] 20
## 4734 2018-01-07 70000 56-65ys 5 ['web', 'email'] 20
## 4735 2016-12-24 67000 56-65ys 5 ['web', 'email'] 20
## 4736 2016-10-17 33000 56-65ys 5 ['web', 'email'] 20
## 4737 2017-08-22 99000 56-65ys 5 ['web', 'email'] 20
## 4738 2014-12-01 100000 46-55ys 5 ['web', 'email'] 20
## 4739 2017-06-25 89000 46-55ys 5 ['web', 'email'] 20
## 4740 2017-06-15 78000 56-65ys 5 ['web', 'email'] 20
## 4741 2016-07-18 33000 66-75ys 5 ['web', 'email'] 20
## 4742 2017-09-26 82000 56-65ys 5 ['web', 'email'] 20
## 4743 2017-10-23 50000 56-65ys 5 ['web', 'email'] 20
## 4744 2016-11-20 93000 46-55ys 5 ['web', 'email'] 20
## 4745 2016-02-10 77000 66-75ys 5 ['web', 'email'] 20
## 4746 2018-03-17 61000 46-55ys 5 ['web', 'email'] 20
## 4747 2016-08-30 45000 46-55ys 5 ['web', 'email'] 20
## 4748 2018-06-10 71000 26-35ys 5 ['web', 'email'] 20
## 4749 2017-12-13 86000 76-85ys 5 ['web', 'email'] 20
## 4750 2017-08-21 49000 46-55ys 5 ['web', 'email'] 20
## 4751 2017-12-18 57000 66-75ys 5 ['web', 'email'] 20
## 4752 2016-05-29 108000 66-75ys 5 ['web', 'email'] 20
## 4753 2017-09-24 55000 36-45ys 5 ['web', 'email'] 20
## 4754 2016-11-20 93000 46-55ys 5 ['web', 'email'] 20
## 4755 2017-03-05 68000 56-65ys 5 ['web', 'email'] 20
## 4756 2018-03-02 67000 46-55ys 5 ['web', 'email'] 20
## 4757 2016-08-30 45000 46-55ys 5 ['web', 'email'] 20
## 4758 2018-02-03 37000 56-65ys 5 ['web', 'email'] 20
## 4759 2017-09-03 32000 36-45ys 5 ['web', 'email'] 20
## 4760 2017-08-08 75000 66-75ys 5 ['web', 'email'] 20
## 4761 2018-06-05 58000 46-55ys 5 ['web', 'email'] 20
## 4762 2016-08-09 61000 46-55ys 5 ['web', 'email'] 20
## 4763 2017-12-11 68000 46-55ys 5 ['web', 'email'] 20
## 4764 2017-09-06 93000 56-65ys 5 ['web', 'email'] 20
## 4765 2015-03-08 54000 66-75ys 5 ['web', 'email'] 20
## 4766 2017-11-07 46000 18-25ys 5 ['web', 'email'] 20
## 4767 2014-09-04 43000 26-35ys 5 ['web', 'email'] 20
## 4768 2018-02-02 55000 36-45ys 5 ['web', 'email'] 20
## 4769 2017-11-20 53000 46-55ys 5 ['web', 'email'] 20
## 4770 2015-12-14 52000 66-75ys 5 ['web', 'email'] 20
## 4771 2018-05-25 78000 46-55ys 5 ['web', 'email'] 20
## 4772 2016-03-24 71000 26-35ys 5 ['web', 'email'] 20
## 4773 2015-04-23 61000 46-55ys 5 ['web', 'email'] 20
## 4774 2018-03-26 70000 18-25ys 5 ['web', 'email'] 20
## 4775 2015-09-27 61000 18-25ys 5 ['web', 'email'] 20
## 4776 2016-06-18 78000 46-55ys 5 ['web', 'email'] 20
## 4777 2017-11-07 31000 56-65ys 5 ['web', 'email'] 20
## 4778 2013-08-27 50000 36-45ys 5 ['web', 'email'] 20
## 4779 2018-05-14 95000 56-65ys 5 ['web', 'email'] 20
## 4780 2015-12-05 92000 56-65ys 5 ['web', 'email'] 20
## 4781 2015-11-07 56000 36-45ys 5 ['web', 'email'] 20
## 4782 2017-10-20 44000 46-55ys 5 ['web', 'email'] 20
## 4783 2017-08-12 68000 36-45ys 5 ['web', 'email'] 20
## 4784 2016-01-09 51000 76-85ys 5 ['web', 'email'] 20
## 4785 2017-08-27 57000 36-45ys 5 ['web', 'email'] 20
## 4786 2017-10-27 52000 56-65ys 5 ['web', 'email'] 20
## 4787 2016-02-13 60000 56-65ys 5 ['web', 'email'] 20
## 4788 2017-01-28 45000 18-25ys 5 ['web', 'email'] 20
## 4789 2018-03-21 35000 18-25ys 5 ['web', 'email'] 20
## 4790 2015-06-20 69000 56-65ys 5 ['web', 'email'] 20
## 4791 2015-12-14 33000 18-25ys 5 ['web', 'email'] 20
## 4792 2014-05-06 92000 66-75ys 5 ['web', 'email'] 20
## 4793 2018-02-06 81000 36-45ys 5 ['web', 'email'] 20
## 4794 2016-01-23 98000 36-45ys 5 ['web', 'email'] 20
## 4795 2017-09-29 99000 56-65ys 5 ['web', 'email'] 20
## 4796 2018-02-06 81000 36-45ys 5 ['web', 'email'] 20
## 4797 2017-02-27 37000 46-55ys 5 ['web', 'email'] 20
## 4798 2018-01-17 57000 46-55ys 5 ['web', 'email'] 20
## 4799 2015-11-26 74000 76-85ys 5 ['web', 'email'] 20
## 4800 2016-07-06 113000 76-85ys 5 ['web', 'email'] 20
## 4801 2016-03-08 115000 66-75ys 5 ['web', 'email'] 20
## 4802 2017-11-09 92000 66-75ys 5 ['web', 'email'] 20
## 4803 2017-10-01 49000 36-45ys 5 ['web', 'email'] 20
## 4804 2013-11-14 45000 66-75ys 5 ['web', 'email'] 20
## 4805 2014-04-18 58000 > 86ys 5 ['web', 'email'] 20
## 4806 2015-08-04 66000 36-45ys 5 ['web', 'email'] 20
## 4807 2018-04-08 67000 46-55ys 5 ['web', 'email'] 20
## 4808 2014-05-28 98000 46-55ys 5 ['web', 'email'] 20
## 4809 2018-05-18 117000 66-75ys 5 ['web', 'email'] 20
## 4810 2018-06-14 80000 66-75ys 5 ['web', 'email'] 20
## 4811 2017-06-27 105000 56-65ys 5 ['web', 'email'] 20
## 4812 2016-05-22 77000 76-85ys 5 ['web', 'email'] 20
## 4813 2017-06-09 67000 66-75ys 5 ['web', 'email'] 20
## 4814 2018-06-14 80000 66-75ys 5 ['web', 'email'] 20
## 4815 2018-03-21 52000 26-35ys 5 ['web', 'email'] 20
## 4816 2017-08-15 34000 56-65ys 5 ['web', 'email'] 20
## 4817 2013-11-14 45000 66-75ys 5 ['web', 'email'] 20
## 4818 2014-05-28 98000 46-55ys 5 ['web', 'email'] 20
## 4819 2018-06-13 75000 36-45ys 5 ['web', 'email'] 20
## 4820 2017-07-19 75000 56-65ys 5 ['web', 'email'] 20
## 4821 2016-02-17 95000 56-65ys 5 ['web', 'email'] 20
## 4822 2018-04-24 96000 66-75ys 5 ['web', 'email'] 20
## 4823 2015-11-26 47000 26-35ys 5 ['web', 'email'] 20
## 4824 2018-02-20 30000 18-25ys 5 ['web', 'email'] 20
## 4825 2017-08-27 61000 76-85ys 5 ['web', 'email'] 20
## 4826 2016-10-17 82000 46-55ys 5 ['web', 'email'] 20
## 4827 2016-11-16 106000 46-55ys 5 ['web', 'email'] 20
## 4828 2015-06-22 48000 18-25ys 5 ['web', 'email'] 20
## 4829 2015-12-18 50000 66-75ys 5 ['web', 'email'] 20
## 4830 2018-02-12 58000 46-55ys 5 ['web', 'email'] 20
## 4831 2017-02-27 72000 56-65ys 5 ['web', 'email'] 20
## 4832 2018-02-12 58000 46-55ys 5 ['web', 'email'] 20
## 4833 2015-09-09 113000 56-65ys 5 ['web', 'email'] 20
## 4834 2017-09-11 31000 18-25ys 5 ['web', 'email'] 20
## 4835 2017-01-15 81000 66-75ys 5 ['web', 'email'] 20
## 4836 2018-06-01 53000 26-35ys 5 ['web', 'email'] 20
## 4837 2015-12-05 115000 66-75ys 5 ['web', 'email'] 20
## 4838 2014-02-08 44000 26-35ys 5 ['web', 'email'] 20
## 4839 2017-01-25 88000 36-45ys 5 ['web', 'email'] 20
## 4840 2016-05-13 85000 46-55ys 5 ['web', 'email'] 20
## 4841 2017-08-09 92000 66-75ys 5 ['web', 'email'] 20
## 4842 2015-11-18 79000 46-55ys 5 ['web', 'email'] 20
## 4843 2018-02-17 53000 46-55ys 5 ['web', 'email'] 20
## 4844 2018-06-14 54000 66-75ys 5 ['web', 'email'] 20
## 4845 2018-04-16 99000 46-55ys 5 ['web', 'email'] 20
## 4846 2016-02-09 92000 76-85ys 5 ['web', 'email'] 20
## 4847 2015-09-24 53000 36-45ys 5 ['web', 'email'] 20
## 4848 2017-03-05 76000 56-65ys 5 ['web', 'email'] 20
## 4849 2014-07-24 77000 46-55ys 5 ['web', 'email'] 20
## 4850 2015-12-31 93000 76-85ys 5 ['web', 'email'] 20
## 4851 2015-06-08 71000 46-55ys 5 ['web', 'email'] 20
## 4852 2016-01-02 56000 36-45ys 5 ['web', 'email'] 20
## 4853 2018-02-18 48000 18-25ys 5 ['web', 'email'] 20
## 4854 2014-02-07 74000 46-55ys 5 ['web', 'email'] 20
## 4855 2018-03-17 37000 66-75ys 5 ['web', 'email'] 20
## 4856 2017-09-26 48000 26-35ys 5 ['web', 'email'] 20
## 4857 2017-11-02 31000 56-65ys 5 ['web', 'email'] 20
## 4858 2018-04-28 41000 56-65ys 5 ['web', 'email'] 20
## 4859 2017-10-28 93000 46-55ys 5 ['web', 'email'] 20
## 4860 2016-04-17 45000 66-75ys 5 ['web', 'email'] 20
## 4861 2017-09-27 62000 46-55ys 5 ['web', 'email'] 20
## 4862 2017-11-23 53000 18-25ys 5 ['web', 'email'] 20
## 4863 2017-10-28 93000 46-55ys 5 ['web', 'email'] 20
## 4864 2017-09-26 48000 26-35ys 5 ['web', 'email'] 20
## 4865 2017-09-12 58000 56-65ys 5 ['web', 'email'] 20
## 4866 2013-10-07 53000 18-25ys 5 ['web', 'email'] 20
## 4867 2016-11-24 74000 18-25ys 5 ['web', 'email'] 20
## 4868 2016-10-11 117000 76-85ys 5 ['web', 'email'] 20
## 4869 2018-04-04 34000 36-45ys 5 ['web', 'email'] 20
## 4870 2016-08-29 60000 36-45ys 5 ['web', 'email'] 20
## 4871 2017-06-02 116000 56-65ys 5 ['web', 'email'] 20
## 4872 2017-09-03 67000 36-45ys 5 ['web', 'email'] 20
## 4873 2017-01-08 86000 66-75ys 5 ['web', 'email'] 20
## 4874 2017-09-03 67000 36-45ys 5 ['web', 'email'] 20
## 4875 2016-04-03 85000 76-85ys 5 ['web', 'email'] 20
## 4876 2018-05-24 68000 46-55ys 5 ['web', 'email'] 20
## 4877 2018-04-02 77000 46-55ys 5 ['web', 'email'] 20
## 4878 2018-04-02 77000 46-55ys 5 ['web', 'email'] 20
## 4879 2018-01-26 65000 66-75ys 5 ['web', 'email'] 20
## 4880 2015-12-18 79000 56-65ys 5 ['web', 'email'] 20
## 4881 2017-02-27 46000 46-55ys 5 ['web', 'email'] 20
## 4882 2016-10-11 33000 > 86ys 5 ['web', 'email'] 20
## 4883 2017-01-08 86000 66-75ys 5 ['web', 'email'] 20
## 4884 2016-08-07 58000 46-55ys 5 ['web', 'email'] 20
## 4885 2015-10-07 62000 56-65ys 5 ['web', 'email'] 20
## 4886 2016-02-19 80000 76-85ys 5 ['web', 'email'] 20
## 4887 2017-02-26 108000 46-55ys 5 ['web', 'email'] 20
## 4888 2018-01-25 67000 36-45ys 5 ['web', 'email'] 20
## 4889 2014-03-24 65000 36-45ys 5 ['web', 'email'] 20
## 4890 2015-10-07 62000 56-65ys 5 ['web', 'email'] 20
## 4891 2016-09-04 37000 76-85ys 5 ['web', 'email'] 20
## 4892 2016-04-12 114000 76-85ys 5 ['web', 'email'] 20
## 4893 2017-04-02 36000 46-55ys 5 ['web', 'email'] 20
## 4894 2014-12-13 52000 46-55ys 5 ['web', 'email'] 20
## 4895 2018-06-30 36000 46-55ys 5 ['web', 'email'] 20
## 4896 2017-04-03 71000 66-75ys 5 ['web', 'email'] 20
## 4897 2017-02-23 80000 46-55ys 5 ['web', 'email'] 20
## 4898 2017-09-25 110000 56-65ys 5 ['web', 'email'] 20
## 4899 2016-01-07 77000 46-55ys 5 ['web', 'email'] 20
## 4900 2015-10-30 70000 56-65ys 5 ['web', 'email'] 20
## 4901 2018-05-29 56000 46-55ys 5 ['web', 'email'] 20
## 4902 2016-10-21 97000 36-45ys 5 ['web', 'email'] 20
## 4903 2017-04-03 71000 66-75ys 5 ['web', 'email'] 20
## 4904 2015-10-07 62000 56-65ys 5 ['web', 'email'] 20
## 4905 2018-03-06 68000 46-55ys 5 ['web', 'email'] 20
## 4906 2017-11-27 110000 56-65ys 5 ['web', 'email'] 20
## 4907 2015-09-14 80000 56-65ys 5 ['web', 'email'] 20
## 4908 2015-09-14 80000 56-65ys 5 ['web', 'email'] 20
## 4909 2015-12-11 55000 46-55ys 5 ['web', 'email'] 20
## 4910 2018-07-25 103000 76-85ys 5 ['web', 'email'] 20
## 4911 2017-06-03 72000 46-55ys 5 ['web', 'email'] 20
## 4912 2015-12-18 114000 46-55ys 5 ['web', 'email'] 20
## 4913 2018-01-23 56000 46-55ys 5 ['web', 'email'] 20
## 4914 2016-09-11 68000 66-75ys 5 ['web', 'email'] 20
## 4915 2017-01-09 119000 56-65ys 5 ['web', 'email'] 20
## 4916 2018-01-23 57000 46-55ys 5 ['web', 'email'] 20
## 4917 2018-01-10 80000 46-55ys 5 ['web', 'email'] 20
## 4918 2014-07-29 37000 18-25ys 5 ['web', 'email'] 20
## 4919 2016-01-10 116000 46-55ys 5 ['web', 'email'] 20
## 4920 2018-05-07 95000 46-55ys 5 ['web', 'email'] 20
## 4921 2018-01-14 85000 66-75ys 5 ['web', 'email'] 20
## 4922 2018-07-17 75000 18-25ys 5 ['web', 'email'] 20
## 4923 2016-10-26 68000 66-75ys 5 ['web', 'email'] 20
## 4924 2017-12-12 67000 66-75ys 5 ['web', 'email'] 20
## 4925 2016-04-18 79000 56-65ys 5 ['web', 'email'] 20
## 4926 2017-01-25 54000 18-25ys 5 ['web', 'email'] 20
## 4927 2017-12-08 81000 46-55ys 5 ['web', 'email'] 20
## 4928 2015-10-02 78000 > 86ys 5 ['web', 'email'] 20
## 4929 2018-07-02 74000 18-25ys 5 ['web', 'email'] 20
## 4930 2018-07-14 44000 18-25ys 5 ['web', 'email'] 20
## 4931 2016-07-29 80000 46-55ys 5 ['web', 'email'] 20
## 4932 2015-10-16 84000 46-55ys 5 ['web', 'email'] 20
## 4933 2015-09-24 75000 66-75ys 5 ['web', 'email'] 20
## 4934 2018-03-24 65000 18-25ys 5 ['web', 'email'] 20
## 4935 2016-03-26 108000 56-65ys 5 ['web', 'email'] 20
## 4936 2016-06-24 53000 76-85ys 5 ['web', 'email'] 20
## 4937 2018-07-16 39000 36-45ys 5 ['web', 'email'] 20
## 4938 2016-08-29 65000 36-45ys 5 ['web', 'email'] 20
## 4939 2017-06-30 94000 36-45ys 5 ['web', 'email'] 20
## 4940 2017-09-27 52000 > 86ys 5 ['web', 'email'] 20
## 4941 2016-06-13 87000 46-55ys 5 ['web', 'email'] 20
## 4942 2016-10-10 61000 56-65ys 5 ['web', 'email'] 20
## 4943 2017-12-13 40000 46-55ys 5 ['web', 'email'] 20
## 4944 2017-03-12 86000 56-65ys 5 ['web', 'email'] 20
## 4945 2017-11-21 69000 66-75ys 5 ['web', 'email'] 20
## 4946 2015-10-16 84000 46-55ys 5 ['web', 'email'] 20
## 4947 2017-11-07 98000 56-65ys 5 ['web', 'email'] 20
## 4948 2018-07-16 39000 36-45ys 5 ['web', 'email'] 20
## 4949 2017-12-13 67000 > 86ys 5 ['web', 'email'] 20
## 4950 2013-08-27 50000 26-35ys 5 ['web', 'email'] 20
## 4951 2017-10-06 73000 36-45ys 5 ['web', 'email'] 20
## 4952 2018-04-19 35000 56-65ys 5 ['web', 'email'] 20
## 4953 2017-03-21 69000 46-55ys 5 ['web', 'email'] 20
## 4954 2017-06-14 53000 18-25ys 5 ['web', 'email'] 20
## 4955 2015-10-08 74000 46-55ys 5 ['web', 'email'] 20
## 4956 2016-09-03 85000 46-55ys 5 ['web', 'email'] 20
## 4957 2017-10-01 81000 66-75ys 5 ['web', 'email'] 20
## 4958 2017-06-02 96000 56-65ys 5 ['web', 'email'] 20
## 4959 2015-09-30 74000 76-85ys 5 ['web', 'email'] 20
## 4960 2018-06-18 45000 56-65ys 5 ['web', 'email'] 20
## 4961 2016-05-12 64000 56-65ys 5 ['web', 'email'] 20
## 4962 2016-07-25 50000 18-25ys 5 ['web', 'email'] 20
## 4963 2017-07-02 101000 46-55ys 5 ['web', 'email'] 20
## 4964 2015-09-30 31000 46-55ys 5 ['web', 'email'] 20
## 4965 2017-10-30 73000 46-55ys 5 ['web', 'email'] 20
## 4966 2015-11-28 60000 46-55ys 5 ['web', 'email'] 20
## 4967 2017-10-19 46000 66-75ys 5 ['web', 'email'] 20
## 4968 2016-05-12 64000 56-65ys 5 ['web', 'email'] 20
## 4969 2017-10-21 110000 56-65ys 5 ['web', 'email'] 20
## 4970 2018-05-24 85000 56-65ys 5 ['web', 'email'] 20
## 4971 2015-11-28 60000 46-55ys 5 ['web', 'email'] 20
## 4972 2016-07-25 50000 18-25ys 5 ['web', 'email'] 20
## 4973 2018-02-08 79000 46-55ys 5 ['web', 'email'] 20
## 4974 2018-06-01 67000 26-35ys 5 ['web', 'email'] 20
## 4975 2018-06-30 71000 18-25ys 5 ['web', 'email'] 20
## 4976 2014-10-07 54000 56-65ys 5 ['web', 'email'] 20
## 4977 2015-11-29 85000 56-65ys 5 ['web', 'email'] 20
## 4978 2017-10-10 89000 66-75ys 5 ['web', 'email'] 20
## 4979 2016-07-07 35000 66-75ys 5 ['web', 'email'] 20
## 4980 2017-07-02 101000 46-55ys 5 ['web', 'email'] 20
## 4981 2017-11-07 35000 18-25ys 5 ['web', 'email'] 20
## 4982 2018-07-21 98000 76-85ys 5 ['web', 'email'] 20
## 4983 2017-12-30 44000 46-55ys 5 ['web', 'email'] 20
## 4984 2018-07-22 72000 26-35ys 5 ['web', 'email'] 20
## 4985 2017-05-11 50000 36-45ys 5 ['web', 'email'] 20
## 4986 2014-06-24 33000 46-55ys 5 ['web', 'email'] 20
## 4987 2015-12-09 66000 56-65ys 5 ['web', 'email'] 20
## 4988 2013-09-18 59000 26-35ys 5 ['web', 'email'] 20
## 4989 2014-10-11 66000 76-85ys 5 ['web', 'email'] 20
## 4990 2014-05-11 68000 46-55ys 5 ['web', 'email'] 20
## 4991 2017-06-27 92000 66-75ys 5 ['web', 'email'] 20
## 4992 2017-11-12 67000 46-55ys 5 ['web', 'email'] 20
## 4993 2017-11-12 67000 46-55ys 5 ['web', 'email'] 20
## 4994 2017-05-24 58000 46-55ys 5 ['web', 'email'] 20
## 4995 2017-06-27 67000 46-55ys 5 ['web', 'email'] 20
## 4996 2016-04-11 71000 46-55ys 5 ['web', 'email'] 20
## 4997 2016-08-24 34000 26-35ys 5 ['web', 'email'] 20
## 4998 2018-03-11 92000 36-45ys 5 ['web', 'email'] 20
## 4999 2017-11-12 67000 46-55ys 5 ['web', 'email'] 20
## 5000 2017-05-09 63000 18-25ys 5 ['web', 'email'] 20
## 5001 2018-06-26 84000 66-75ys 5 ['web', 'email'] 20
## 5002 2016-01-12 116000 56-65ys 5 ['web', 'email'] 20
## 5003 2016-07-18 96000 56-65ys 5 ['web', 'email'] 20
## 5004 2017-10-02 89000 > 86ys 5 ['web', 'email'] 20
## 5005 2017-10-11 57000 46-55ys 5 ['web', 'email'] 20
## 5006 2016-09-30 69000 56-65ys 5 ['web', 'email'] 20
## 5007 2017-06-26 57000 66-75ys 5 ['web', 'email'] 20
## 5008 2017-06-26 57000 66-75ys 5 ['web', 'email'] 20
## 5009 2017-03-24 40000 18-25ys 5 ['web', 'email'] 20
## 5010 2017-08-28 45000 26-35ys 5 ['web', 'email'] 20
## 5011 2015-09-30 73000 56-65ys 5 ['web', 'email'] 20
## 5012 2018-03-29 39000 76-85ys 5 ['web', 'email'] 20
## 5013 2018-01-12 56000 18-25ys 5 ['web', 'email'] 20
## 5014 2014-10-20 70000 56-65ys 5 ['web', 'email'] 20
## 5015 2017-01-25 63000 18-25ys 5 ['web', 'email'] 20
## 5016 2017-09-21 65000 36-45ys 5 ['web', 'email'] 20
## 5017 2018-07-18 32000 56-65ys 5 ['web', 'email'] 20
## 5018 2018-05-29 48000 26-35ys 5 ['web', 'email'] 20
## 5019 2017-09-24 43000 66-75ys 5 ['web', 'email'] 20
## 5020 2014-04-17 48000 36-45ys 5 ['web', 'email'] 20
## 5021 2016-10-26 51000 56-65ys 5 ['web', 'email'] 20
## 5022 2015-11-18 72000 46-55ys 5 ['web', 'email'] 20
## 5023 2015-09-27 53000 46-55ys 5 ['web', 'email'] 20
## 5024 2017-05-10 84000 76-85ys 5 ['web', 'email'] 20
## 5025 2014-04-17 48000 36-45ys 5 ['web', 'email'] 20
## 5026 2018-02-22 57000 26-35ys 5 ['web', 'email'] 20
## 5027 2017-03-07 77000 66-75ys 5 ['web', 'email'] 20
## 5028 2017-10-27 40000 36-45ys 5 ['web', 'email'] 20
## 5029 2017-10-06 63000 36-45ys 5 ['web', 'email'] 20
## 5030 2018-04-10 53000 46-55ys 5 ['web', 'email'] 20
## 5031 2017-08-21 55000 56-65ys 5 ['web', 'email'] 20
## 5032 2018-02-01 87000 56-65ys 5 ['web', 'email'] 20
## 5033 2016-07-03 36000 26-35ys 5 ['web', 'email'] 20
## 5034 2016-02-28 87000 56-65ys 5 ['web', 'email'] 20
## 5035 2017-10-21 49000 18-25ys 5 ['web', 'email'] 20
## 5036 2015-11-16 64000 56-65ys 5 ['web', 'email'] 20
## 5037 2017-07-27 73000 46-55ys 5 ['web', 'email'] 20
## 5038 2017-10-27 109000 66-75ys 5 ['web', 'email'] 20
## 5039 2018-06-21 66000 46-55ys 5 ['web', 'email'] 20
## 5040 2018-01-10 53000 > 86ys 5 ['web', 'email'] 20
## 5041 2018-02-12 89000 76-85ys 5 ['web', 'email'] 20
## 5042 2013-10-22 33000 56-65ys 5 ['web', 'email'] 20
## 5043 2017-06-25 45000 56-65ys 5 ['web', 'email'] 20
## 5044 2018-01-30 73000 66-75ys 5 ['web', 'email'] 20
## 5045 2016-02-05 99000 56-65ys 5 ['web', 'email'] 20
## 5046 2015-08-02 85000 56-65ys 5 ['web', 'email'] 20
## 5047 2017-03-26 85000 76-85ys 5 ['web', 'email'] 20
## 5048 2017-11-05 52000 56-65ys 5 ['web', 'email'] 20
## 5049 2017-04-01 57000 66-75ys 5 ['web', 'email'] 20
## 5050 2017-10-17 116000 66-75ys 5 ['web', 'email'] 20
## 5051 2018-04-19 70000 56-65ys 5 ['web', 'email'] 20
## 5052 2015-07-06 79000 76-85ys 5 ['web', 'email'] 20
## 5053 2017-11-25 70000 26-35ys 5 ['web', 'email'] 20
## 5054 2018-01-26 65000 18-25ys 5 ['web', 'email'] 20
## 5055 2017-12-20 44000 18-25ys 5 ['web', 'email'] 20
## 5056 2017-12-22 90000 56-65ys 5 ['web', 'email'] 20
## 5057 2018-01-23 97000 56-65ys 5 ['web', 'email'] 20
## 5058 2016-08-21 63000 36-45ys 5 ['web', 'email'] 20
## 5059 2017-06-19 83000 46-55ys 5 ['web', 'email'] 20
## 5060 2016-09-05 73000 56-65ys 5 ['web', 'email'] 20
## 5061 2015-06-13 61000 56-65ys 5 ['web', 'email'] 20
## 5062 2015-10-13 61000 66-75ys 5 ['web', 'email'] 20
## 5063 2017-04-02 53000 18-25ys 5 ['web', 'email'] 20
## 5064 2017-08-06 37000 26-35ys 5 ['web', 'email'] 20
## 5065 2016-05-31 75000 36-45ys 5 ['web', 'email'] 20
## 5066 2016-04-02 82000 46-55ys 5 ['web', 'email'] 20
## 5067 2018-05-02 81000 76-85ys 5 ['web', 'email'] 20
## 5068 2018-04-15 41000 26-35ys 5 ['web', 'email'] 20
## 5069 2015-11-02 53000 46-55ys 5 ['web', 'email'] 20
## 5070 2014-03-12 68000 46-55ys 5 ['web', 'email'] 20
## 5071 2018-07-15 60000 18-25ys 5 ['web', 'email'] 20
## 5072 2015-11-15 97000 56-65ys 5 ['web', 'email'] 20
## 5073 2017-08-06 60000 36-45ys 5 ['web', 'email'] 20
## 5074 2016-11-13 77000 46-55ys 5 ['web', 'email'] 20
## 5075 2016-05-11 39000 18-25ys 5 ['web', 'email'] 20
## 5076 2018-07-01 36000 66-75ys 5 ['web', 'email'] 20
## 5077 2016-05-14 36000 18-25ys 5 ['web', 'email'] 20
## 5078 2015-10-04 94000 46-55ys 5 ['web', 'email'] 20
## 5079 2018-07-01 36000 66-75ys 5 ['web', 'email'] 20
## 5080 2017-08-30 68000 > 86ys 5 ['web', 'email'] 20
## 5081 2016-05-02 50000 36-45ys 5 ['web', 'email'] 20
## 5082 2017-02-03 54000 18-25ys 5 ['web', 'email'] 20
## 5083 2015-09-08 99000 46-55ys 5 ['web', 'email'] 20
## 5084 2015-10-04 94000 46-55ys 5 ['web', 'email'] 20
## 5085 2016-03-25 68000 66-75ys 5 ['web', 'email'] 20
## 5086 2016-07-26 80000 56-65ys 5 ['web', 'email'] 20
## 5087 2016-06-30 69000 36-45ys 5 ['web', 'email'] 20
## 5088 2016-05-14 36000 18-25ys 5 ['web', 'email'] 20
## 5089 2016-01-01 69000 36-45ys 5 ['web', 'email'] 20
## 5090 2016-03-05 89000 36-45ys 5 ['web', 'email'] 20
## 5091 2015-09-10 75000 66-75ys 5 ['web', 'email'] 20
## 5092 2017-07-12 44000 56-65ys 5 ['web', 'email'] 20
## 5093 2018-07-08 51000 46-55ys 5 ['web', 'email'] 20
## 5094 2018-03-18 74000 66-75ys 5 ['web', 'email'] 20
## 5095 2018-05-28 99000 66-75ys 5 ['web', 'email'] 20
## 5096 2018-01-15 68000 26-35ys 5 ['web', 'email'] 20
## 5097 2015-01-12 82000 46-55ys 5 ['web', 'email'] 20
## 5098 2017-08-07 83000 46-55ys 5 ['web', 'email'] 20
## 5099 2016-03-22 96000 36-45ys 5 ['web', 'email'] 20
## 5100 2018-04-25 93000 36-45ys 5 ['web', 'email'] 20
## 5101 2018-03-18 57000 56-65ys 5 ['web', 'email'] 20
## 5102 2018-05-14 56000 56-65ys 5 ['web', 'email'] 20
## 5103 2016-06-05 69000 56-65ys 5 ['web', 'email'] 20
## 5104 2016-07-07 74000 46-55ys 5 ['web', 'email'] 20
## 5105 2017-05-29 56000 36-45ys 5 ['web', 'email'] 20
## 5106 2015-11-06 76000 56-65ys 5 ['web', 'email'] 20
## 5107 2016-05-29 55000 46-55ys 5 ['web', 'email'] 20
## 5108 2016-02-10 77000 66-75ys 5 ['web', 'email'] 20
## 5109 2017-03-25 71000 > 86ys 5 ['web', 'email'] 20
## 5110 2017-10-08 94000 56-65ys 5 ['web', 'email'] 20
## 5111 2015-08-12 97000 66-75ys 5 ['web', 'email'] 20
## 5112 2018-06-09 58000 > 86ys 5 ['web', 'email'] 20
## 5113 2018-04-22 52000 56-65ys 5 ['web', 'email'] 20
## 5114 2016-03-22 96000 36-45ys 5 ['web', 'email'] 20
## 5115 2018-03-27 99000 56-65ys 5 ['web', 'email'] 20
## 5116 2017-03-18 95000 36-45ys 5 ['web', 'email'] 20
## 5117 2016-06-05 69000 56-65ys 5 ['web', 'email'] 20
## 5118 2016-05-05 64000 26-35ys 5 ['web', 'email'] 20
## 5119 2017-10-29 40000 18-25ys 5 ['web', 'email'] 20
## 5120 2017-11-13 36000 66-75ys 5 ['web', 'email'] 20
## 5121 2017-03-06 83000 56-65ys 5 ['web', 'email'] 20
## 5122 2015-02-26 59000 18-25ys 5 ['web', 'email'] 20
## 5123 2017-08-02 58000 18-25ys 5 ['web', 'email'] 20
## 5124 2017-08-09 33000 26-35ys 5 ['web', 'email'] 20
## 5125 2018-02-10 53000 46-55ys 5 ['web', 'email'] 20
## 5126 2014-09-05 61000 56-65ys 5 ['web', 'email'] 20
## 5127 2018-07-02 57000 > 86ys 5 ['web', 'email'] 20
## 5128 2018-05-30 57000 > 86ys 5 ['web', 'email'] 20
## 5129 2017-01-12 40000 18-25ys 5 ['web', 'email'] 20
## 5130 2015-10-22 64000 26-35ys 5 ['web', 'email'] 20
## 5131 2017-11-05 51000 66-75ys 5 ['web', 'email'] 20
## 5132 2018-07-24 52000 36-45ys 5 ['web', 'email'] 20
## 5133 2017-06-21 70000 56-65ys 5 ['web', 'email'] 20
## 5134 2018-02-24 65000 56-65ys 5 ['web', 'email'] 20
## 5135 2017-10-22 76000 76-85ys 5 ['web', 'email'] 20
## 5136 2017-11-12 57000 26-35ys 5 ['web', 'email'] 20
## 5137 2016-06-29 84000 36-45ys 5 ['web', 'email'] 20
## 5138 2015-09-19 88000 76-85ys 5 ['web', 'email'] 20
## 5139 2015-04-25 53000 46-55ys 5 ['web', 'email'] 20
## 5140 2014-01-07 30000 66-75ys 5 ['web', 'email'] 20
## 5141 2016-04-16 68000 66-75ys 5 ['web', 'email'] 20
## 5142 2017-10-15 47000 56-65ys 5 ['web', 'email'] 20
## 5143 2018-07-13 64000 18-25ys 5 ['web', 'email'] 20
## 5144 2018-07-19 103000 56-65ys 5 ['web', 'email'] 20
## 5145 2013-08-06 69000 66-75ys 5 ['web', 'email'] 20
## 5146 2017-09-04 43000 76-85ys 5 ['web', 'email'] 20
## 5147 2018-07-19 103000 56-65ys 5 ['web', 'email'] 20
## 5148 2016-04-16 68000 66-75ys 5 ['web', 'email'] 20
## 5149 2018-07-05 89000 46-55ys 5 ['web', 'email'] 20
## 5150 2017-12-26 79000 > 86ys 5 ['web', 'email'] 20
## 5151 2017-08-11 65000 56-65ys 5 ['web', 'email'] 20
## 5152 2014-06-16 79000 56-65ys 5 ['web', 'email'] 20
## 5153 2018-06-04 46000 26-35ys 5 ['web', 'email'] 20
## 5154 2017-09-22 71000 46-55ys 5 ['web', 'email'] 20
## 5155 2016-06-07 63000 36-45ys 5 ['web', 'email'] 20
## 5156 2016-08-17 89000 46-55ys 5 ['web', 'email'] 20
## 5157 2016-03-14 39000 46-55ys 5 ['web', 'email'] 20
## 5158 2017-03-13 104000 46-55ys 5 ['web', 'email'] 20
## 5159 2016-05-11 55000 46-55ys 5 ['web', 'email'] 20
## 5160 2015-09-22 76000 46-55ys 5 ['web', 'email'] 20
## 5161 2015-12-18 85000 66-75ys 5 ['web', 'email'] 20
## 5162 2016-06-10 65000 18-25ys 5 ['web', 'email'] 20
## 5163 2018-03-16 85000 46-55ys 5 ['web', 'email'] 20
## 5164 2018-06-04 46000 26-35ys 5 ['web', 'email'] 20
## 5165 2017-07-31 63000 56-65ys 5 ['web', 'email'] 20
## 5166 2017-05-13 73000 46-55ys 5 ['web', 'email'] 20
## 5167 2015-12-11 54000 56-65ys 5 ['web', 'email'] 20
## 5168 2016-12-08 95000 76-85ys 5 ['web', 'email'] 20
## 5169 2016-12-19 108000 66-75ys 5 ['web', 'email'] 20
## 5170 2017-06-09 37000 46-55ys 5 ['web', 'email'] 20
## 5171 2017-12-18 71000 18-25ys 5 ['web', 'email'] 20
## 5172 2015-12-27 82000 46-55ys 5 ['web', 'email'] 20
## 5173 2017-07-24 97000 46-55ys 5 ['web', 'email'] 20
## 5174 2013-12-25 56000 46-55ys 5 ['web', 'email'] 20
## 5175 2015-09-27 62000 76-85ys 5 ['web', 'email'] 20
## 5176 2017-06-23 94000 46-55ys 5 ['web', 'email'] 20
## 5177 2015-09-04 74000 46-55ys 5 ['web', 'email'] 20
## 5178 2016-03-31 73000 46-55ys 5 ['web', 'email'] 20
## 5179 2017-10-24 59000 36-45ys 5 ['web', 'email'] 20
## 5180 2017-05-26 57000 56-65ys 5 ['web', 'email'] 20
## 5181 2017-12-11 85000 36-45ys 5 ['web', 'email'] 20
## 5182 2016-11-24 38000 36-45ys 5 ['web', 'email'] 20
## 5183 2017-11-25 71000 66-75ys 5 ['web', 'email'] 20
## 5184 2018-01-02 71000 76-85ys 5 ['web', 'email'] 20
## 5185 2015-08-22 56000 26-35ys 5 ['web', 'email'] 20
## 5186 2017-08-15 78000 46-55ys 5 ['web', 'email'] 20
## 5187 2018-03-19 51000 26-35ys 5 ['web', 'email'] 20
## 5188 2017-05-15 92000 36-45ys 5 ['web', 'email'] 20
## 5189 2015-02-10 70000 66-75ys 5 ['web', 'email'] 20
## 5190 2016-06-20 58000 66-75ys 5 ['web', 'email'] 20
## 5191 2017-12-11 85000 36-45ys 5 ['web', 'email'] 20
## 5192 2017-09-30 73000 26-35ys 5 ['web', 'email'] 20
## 5193 2015-02-24 73000 66-75ys 5 ['web', 'email'] 20
## 5194 2017-01-24 72000 46-55ys 5 ['web', 'email'] 20
## 5195 2014-03-12 68000 56-65ys 5 ['web', 'email'] 20
## 5196 2016-06-01 108000 66-75ys 5 ['web', 'email'] 20
## 5197 2016-06-20 58000 66-75ys 5 ['web', 'email'] 20
## 5198 2016-06-29 69000 66-75ys 5 ['web', 'email'] 20
## 5199 2016-04-03 85000 66-75ys 5 ['web', 'email'] 20
## 5200 2017-02-05 87000 36-45ys 5 ['web', 'email'] 20
## 5201 2018-05-18 79000 46-55ys 5 ['web', 'email'] 20
## 5202 2015-03-07 68000 66-75ys 5 ['web', 'email'] 20
## 5203 2017-11-19 72000 36-45ys 5 ['web', 'email'] 20
## 5204 2014-03-12 36000 26-35ys 5 ['web', 'email'] 20
## 5205 2015-10-25 60000 46-55ys 5 ['web', 'email'] 20
## 5206 2016-01-22 48000 56-65ys 5 ['web', 'email'] 20
## 5207 2016-09-06 115000 66-75ys 5 ['web', 'email'] 20
## 5208 2017-04-13 72000 66-75ys 5 ['web', 'email'] 20
## 5209 2017-07-22 61000 46-55ys 5 ['web', 'email'] 20
## 5210 2016-05-11 33000 26-35ys 5 ['web', 'email'] 20
## 5211 2016-12-04 38000 56-65ys 5 ['web', 'email'] 20
## 5212 2016-12-12 96000 56-65ys 5 ['web', 'email'] 20
## 5213 2015-12-29 36000 36-45ys 5 ['web', 'email'] 20
## 5214 2017-08-18 84000 56-65ys 5 ['web', 'email'] 20
## 5215 2016-06-14 52000 36-45ys 5 ['web', 'email'] 20
## 5216 2016-07-24 113000 56-65ys 5 ['web', 'email'] 20
## 5217 2018-04-21 72000 46-55ys 5 ['web', 'email'] 20
## 5218 2017-11-09 76000 66-75ys 5 ['web', 'email'] 20
## 5219 2018-05-25 86000 36-45ys 5 ['web', 'email'] 20
## 5220 2018-03-03 90000 46-55ys 5 ['web', 'email'] 20
## 5221 2017-07-29 47000 36-45ys 5 ['web', 'email'] 20
## 5222 2017-02-02 53000 66-75ys 5 ['web', 'email'] 20
## 5223 2017-12-07 58000 56-65ys 5 ['web', 'email'] 20
## 5224 2017-12-07 58000 56-65ys 5 ['web', 'email'] 20
## 5225 2015-03-07 68000 66-75ys 5 ['web', 'email'] 20
## 5226 2018-03-17 61000 36-45ys 5 ['web', 'email'] 20
## 5227 2015-03-15 38000 66-75ys 5 ['web', 'email'] 20
## 5228 2018-02-26 48000 56-65ys 5 ['web', 'email'] 20
## 5229 2016-11-28 38000 66-75ys 5 ['web', 'email'] 20
## 5230 2017-02-07 59000 18-25ys 5 ['web', 'email'] 20
## 5231 2016-11-20 103000 56-65ys 5 ['web', 'email'] 20
## 5232 2016-09-06 89000 66-75ys 5 ['web', 'email'] 20
## 5233 2017-12-22 59000 66-75ys 5 ['web', 'email'] 20
## 5234 2016-09-14 117000 56-65ys 5 ['web', 'email'] 20
## 5235 2015-10-14 31000 66-75ys 5 ['web', 'email'] 20
## 5236 2016-01-06 47000 46-55ys 5 ['web', 'email'] 20
## 5237 2018-02-03 35000 36-45ys 5 ['web', 'email'] 20
## 5238 2015-11-24 37000 46-55ys 5 ['web', 'email'] 20
## 5239 2016-01-05 49000 36-45ys 5 ['web', 'email'] 20
## 5240 2015-10-10 86000 56-65ys 5 ['web', 'email'] 20
## 5241 2017-02-23 58000 56-65ys 5 ['web', 'email'] 20
## 5242 2017-11-18 57000 46-55ys 5 ['web', 'email'] 20
## 5243 2018-04-24 35000 26-35ys 5 ['web', 'email'] 20
## 5244 2018-04-21 51000 56-65ys 5 ['web', 'email'] 20
## 5245 2018-02-15 38000 36-45ys 5 ['web', 'email'] 20
## 5246 2016-04-04 69000 76-85ys 5 ['web', 'email'] 20
## 5247 2017-05-18 57000 36-45ys 5 ['web', 'email'] 20
## 5248 2018-01-27 34000 76-85ys 5 ['web', 'email'] 20
## 5249 2017-02-26 72000 66-75ys 5 ['web', 'email'] 20
## 5250 2016-01-13 71000 56-65ys 5 ['web', 'email'] 20
## 5251 2017-11-27 52000 66-75ys 5 ['web', 'email'] 20
## 5252 2017-12-19 113000 56-65ys 5 ['web', 'email'] 20
## 5253 2016-11-02 58000 36-45ys 5 ['web', 'email'] 20
## 5254 2016-02-28 118000 46-55ys 5 ['web', 'email'] 20
## 5255 2017-10-02 107000 46-55ys 5 ['web', 'email'] 20
## 5256 2018-07-22 33000 36-45ys 5 ['web', 'email'] 20
## 5257 2016-01-26 53000 56-65ys 5 ['web', 'email'] 20
## 5258 2016-04-30 56000 56-65ys 5 ['web', 'email'] 20
## 5259 2017-10-06 48000 36-45ys 5 ['web', 'email'] 20
## 5260 2016-01-26 53000 56-65ys 5 ['web', 'email'] 20
## 5261 2018-02-17 39000 36-45ys 5 ['web', 'email'] 20
## 5262 2017-10-24 91000 36-45ys 5 ['web', 'email'] 20
## 5263 2018-03-03 97000 46-55ys 5 ['web', 'email'] 20
## 5264 2018-04-22 40000 36-45ys 5 ['web', 'email'] 20
## 5265 2017-11-30 74000 46-55ys 5 ['web', 'email'] 20
## 5266 2015-05-27 67000 56-65ys 5 ['web', 'email'] 20
## 5267 2015-10-22 115000 46-55ys 5 ['web', 'email'] 20
## 5268 2017-12-07 70000 66-75ys 5 ['web', 'email'] 20
## 5269 2016-03-06 54000 66-75ys 5 ['web', 'email'] 20
## 5270 2017-02-25 87000 66-75ys 5 ['web', 'email'] 20
## 5271 2018-01-23 74000 76-85ys 5 ['web', 'email'] 20
## 5272 2016-07-09 107000 46-55ys 5 ['web', 'email'] 20
## 5273 2017-10-14 74000 76-85ys 5 ['web', 'email'] 20
## 5274 2016-10-02 68000 46-55ys 5 ['web', 'email'] 20
## 5275 2016-04-18 78000 66-75ys 5 ['web', 'email'] 20
## 5276 2017-06-14 82000 46-55ys 5 ['web', 'email'] 20
## 5277 2017-06-24 54000 56-65ys 5 ['web', 'email'] 20
## 5278 2018-04-22 37000 26-35ys 5 ['web', 'email'] 20
## 5279 2015-11-07 109000 46-55ys 5 ['web', 'email'] 20
## 5280 2015-10-26 56000 36-45ys 5 ['web', 'email'] 20
## 5281 2016-05-08 40000 46-55ys 5 ['web', 'email'] 20
## 5282 2018-04-20 40000 > 86ys 5 ['web', 'email'] 20
## 5283 2016-03-27 70000 66-75ys 5 ['web', 'email'] 20
## 5284 2013-09-13 75000 18-25ys 5 ['web', 'email'] 20
## 5285 2017-10-20 112000 56-65ys 5 ['web', 'email'] 20
## 5286 2018-06-26 93000 76-85ys 5 ['web', 'email'] 20
## 5287 2017-11-16 46000 36-45ys 5 ['web', 'email'] 20
## 5288 2014-01-09 69000 66-75ys 5 ['web', 'email'] 20
## 5289 2017-12-27 69000 56-65ys 5 ['web', 'email'] 20
## 5290 2018-03-05 35000 26-35ys 5 ['web', 'email'] 20
## 5291 2017-09-04 75000 46-55ys 5 ['web', 'email'] 20
## 5292 2017-12-22 74000 46-55ys 5 ['web', 'email'] 20
## 5293 2017-12-20 51000 18-25ys 5 ['web', 'email'] 20
## 5294 2017-09-21 40000 56-65ys 5 ['web', 'email'] 20
## 5295 2017-08-20 73000 46-55ys 5 ['web', 'email'] 20
## 5296 2018-02-21 89000 46-55ys 5 ['web', 'email'] 20
## 5297 2015-03-15 86000 56-65ys 5 ['web', 'email'] 20
## 5298 2017-09-15 47000 26-35ys 5 ['web', 'email'] 20
## 5299 2016-03-04 60000 46-55ys 5 ['web', 'email'] 20
## 5300 2018-03-21 54000 56-65ys 5 ['web', 'email'] 20
## 5301 2017-11-14 65000 46-55ys 5 ['web', 'email'] 20
## 5302 2016-03-06 77000 46-55ys 5 ['web', 'email'] 20
## 5303 2018-02-21 89000 46-55ys 5 ['web', 'email'] 20
## 5304 2018-03-22 71000 46-55ys 5 ['web', 'email'] 20
## 5305 2017-11-04 74000 36-45ys 5 ['web', 'email'] 20
## 5306 2018-05-30 35000 26-35ys 5 ['web', 'email'] 20
## 5307 2015-09-30 54000 26-35ys 5 ['web', 'email'] 20
## 5308 2013-11-22 34000 76-85ys 5 ['web', 'email'] 20
## 5309 2016-12-26 118000 46-55ys 5 ['web', 'email'] 20
## 5310 2017-04-12 39000 56-65ys 5 ['web', 'email'] 20
## 5311 2018-02-21 89000 46-55ys 5 ['web', 'email'] 20
## 5312 2018-04-17 41000 36-45ys 5 ['web', 'email'] 20
## 5313 2018-01-29 41000 > 86ys 5 ['web', 'email'] 20
## 5314 2016-05-26 72000 66-75ys 5 ['web', 'email'] 20
## 5315 2017-12-23 34000 56-65ys 5 ['web', 'email'] 20
## 5316 2017-01-31 75000 46-55ys 5 ['web', 'email'] 20
## 5317 2018-02-10 49000 56-65ys 5 ['web', 'email'] 20
## 5318 2018-02-11 73000 18-25ys 5 ['web', 'email'] 20
## 5319 2016-02-11 45000 18-25ys 5 ['web', 'email'] 20
## 5320 2015-09-30 54000 26-35ys 5 ['web', 'email'] 20
## 5321 2018-02-08 90000 66-75ys 5 ['web', 'email'] 20
## 5322 2017-08-11 35000 46-55ys 5 ['web', 'email'] 20
## 5323 2017-01-01 55000 36-45ys 5 ['web', 'email'] 20
## 5324 2018-01-11 49000 46-55ys 5 ['web', 'email'] 20
## 5325 2018-02-07 70000 56-65ys 5 ['web', 'email'] 20
## 5326 2016-11-07 75000 66-75ys 5 ['web', 'email'] 20
## 5327 2017-12-16 49000 36-45ys 5 ['web', 'email'] 20
## 5328 2017-07-31 113000 56-65ys 5 ['web', 'email'] 20
## 5329 2016-08-04 114000 56-65ys 5 ['web', 'email'] 20
## 5330 2017-08-01 76000 46-55ys 5 ['web', 'email'] 20
## 5331 2018-07-24 85000 56-65ys 5 ['web', 'email'] 20
## 5332 2015-02-18 69000 36-45ys 5 ['web', 'email'] 20
## 5333 2017-11-21 85000 66-75ys 5 ['web', 'email'] 20
## 5334 2017-04-06 67000 36-45ys 5 ['web', 'email'] 20
## 5335 2018-02-25 92000 56-65ys 5 ['web', 'email'] 20
## 5336 2017-07-23 40000 56-65ys 5 ['web', 'email'] 20
## 5337 2018-07-07 41000 46-55ys 5 ['web', 'email'] 20
## 5338 2017-10-09 59000 56-65ys 5 ['web', 'email'] 20
## 5339 2017-03-23 95000 76-85ys 5 ['web', 'email'] 20
## 5340 2016-04-13 75000 26-35ys 5 ['web', 'email'] 20
## 5341 2016-05-07 57000 36-45ys 5 ['web', 'email'] 20
## 5342 2016-04-13 75000 26-35ys 5 ['web', 'email'] 20
## 5343 2016-08-05 87000 76-85ys 5 ['web', 'email'] 20
## 5344 2016-01-01 79000 46-55ys 5 ['web', 'email'] 20
## 5345 2016-07-04 100000 46-55ys 5 ['web', 'email'] 20
## 5346 2017-10-06 34000 26-35ys 5 ['web', 'email'] 20
## 5347 2015-09-20 54000 26-35ys 5 ['web', 'email'] 20
## 5348 2018-02-26 35000 56-65ys 5 ['web', 'email'] 20
## 5349 2016-03-23 60000 46-55ys 5 ['web', 'email'] 20
## 5350 2017-08-01 76000 46-55ys 5 ['web', 'email'] 20
## 5351 2017-11-10 79000 76-85ys 5 ['web', 'email'] 20
## 5352 2016-10-17 69000 46-55ys 5 ['web', 'email'] 20
## 5353 2016-07-17 54000 66-75ys 5 ['web', 'email'] 20
## 5354 2017-05-11 50000 36-45ys 5 ['web', 'email'] 20
## 5355 2016-09-29 66000 46-55ys 5 ['web', 'email'] 20
## 5356 2017-02-18 90000 > 86ys 5 ['web', 'email'] 20
## 5357 2015-10-10 56000 66-75ys 5 ['web', 'email'] 20
## 5358 2013-09-06 52000 18-25ys 5 ['web', 'email'] 20
## 5359 2018-05-14 89000 76-85ys 5 ['web', 'email'] 20
## 5360 2017-03-11 68000 66-75ys 5 ['web', 'email'] 20
## 5361 2017-10-25 40000 46-55ys 5 ['web', 'email'] 20
## 5362 2017-11-06 103000 46-55ys 5 ['web', 'email'] 20
## 5363 2018-07-18 59000 26-35ys 5 ['web', 'email'] 20
## 5364 2017-10-29 120000 56-65ys 5 ['web', 'email'] 20
## 5365 2015-12-30 83000 46-55ys 5 ['web', 'email'] 20
## 5366 2018-04-01 79000 76-85ys 5 ['web', 'email'] 20
## 5367 2016-09-29 66000 46-55ys 5 ['web', 'email'] 20
## 5368 2015-08-30 61000 66-75ys 5 ['web', 'email'] 20
## 5369 2017-09-19 71000 46-55ys 5 ['web', 'email'] 20
## 5370 2016-05-22 81000 56-65ys 5 ['web', 'email'] 20
## 5371 2018-02-28 61000 26-35ys 5 ['web', 'email'] 20
## 5372 2017-12-10 72000 36-45ys 5 ['web', 'email'] 20
## 5373 2018-01-19 45000 26-35ys 5 ['web', 'email'] 20
## 5374 2015-09-17 52000 56-65ys 5 ['web', 'email'] 20
## 5375 2017-09-10 52000 26-35ys 5 ['web', 'email'] 20
## 5376 2018-04-25 30000 36-45ys 5 ['web', 'email'] 20
## 5377 2016-02-17 84000 46-55ys 5 ['web', 'email'] 20
## 5378 2015-08-01 33000 26-35ys 5 ['web', 'email'] 20
## 5379 2016-12-21 99000 36-45ys 5 ['web', 'email'] 20
## 5380 2018-05-17 74000 > 86ys 5 ['web', 'email'] 20
## 5381 2015-08-11 41000 76-85ys 5 ['web', 'email'] 20
## 5382 2016-12-21 99000 36-45ys 5 ['web', 'email'] 20
## 5383 2017-03-25 35000 56-65ys 5 ['web', 'email'] 20
## 5384 2016-06-18 88000 66-75ys 5 ['web', 'email'] 20
## 5385 2015-12-14 109000 56-65ys 5 ['web', 'email'] 20
## 5386 2014-11-26 92000 66-75ys 5 ['web', 'email'] 20
## 5387 2013-09-16 59000 26-35ys 5 ['web', 'email'] 20
## 5388 2016-05-03 96000 66-75ys 5 ['web', 'email'] 20
## 5389 2016-09-12 50000 66-75ys 5 ['web', 'email'] 20
## 5390 2017-12-22 54000 56-65ys 5 ['web', 'email'] 20
## 5391 2016-02-20 92000 66-75ys 5 ['web', 'email'] 20
## 5392 2015-04-05 36000 46-55ys 5 ['web', 'email'] 20
## 5393 2017-11-21 73000 36-45ys 5 ['web', 'email'] 20
## 5394 2018-01-08 69000 66-75ys 5 ['web', 'email'] 20
## 5395 2016-06-04 81000 76-85ys 5 ['web', 'email'] 20
## 5396 2017-10-19 109000 66-75ys 5 ['web', 'email'] 20
## 5397 2017-12-22 54000 56-65ys 5 ['web', 'email'] 20
## 5398 2017-11-21 73000 36-45ys 5 ['web', 'email'] 20
## 5399 2018-03-13 50000 66-75ys 5 ['web', 'email'] 20
## 5400 2015-04-07 70000 36-45ys 5 ['web', 'email'] 20
## 5401 2017-10-28 40000 46-55ys 5 ['web', 'email'] 20
## 5402 2016-07-13 83000 56-65ys 5 ['web', 'email'] 20
## 5403 2017-09-27 56000 76-85ys 5 ['web', 'email'] 20
## 5404 2016-06-14 78000 76-85ys 5 ['web', 'email'] 20
## 5405 2017-02-19 76000 56-65ys 5 ['web', 'email'] 20
## 5406 2016-08-07 73000 46-55ys 5 ['web', 'email'] 20
## 5407 2017-08-01 58000 46-55ys 5 ['web', 'email'] 20
## 5408 2018-06-02 35000 76-85ys 5 ['web', 'email'] 20
## 5409 2017-02-06 39000 46-55ys 5 ['web', 'email'] 20
## 5410 2017-10-23 67000 66-75ys 5 ['web', 'email'] 20
## 5411 2017-08-19 51000 36-45ys 5 ['web', 'email'] 20
## 5412 2017-09-13 59000 56-65ys 5 ['web', 'email'] 20
## 5413 2017-11-02 35000 46-55ys 5 ['web', 'email'] 20
## 5414 2015-12-24 87000 76-85ys 5 ['web', 'email'] 20
## 5415 2017-10-22 41000 46-55ys 5 ['web', 'email'] 20
## 5416 2017-10-03 96000 66-75ys 5 ['web', 'email'] 20
## 5417 2014-12-20 44000 46-55ys 5 ['web', 'email'] 20
## 5418 2017-07-17 110000 66-75ys 5 ['web', 'email'] 20
## 5419 2017-12-27 66000 46-55ys 5 ['web', 'email'] 20
## 5420 2017-09-14 36000 36-45ys 5 ['web', 'email'] 20
## 5421 2015-08-29 93000 56-65ys 5 ['web', 'email'] 20
## 5422 2017-06-26 52000 46-55ys 5 ['web', 'email'] 20
## 5423 2018-03-24 71000 66-75ys 5 ['web', 'email'] 20
## 5424 2018-07-26 74000 36-45ys 5 ['web', 'email'] 20
## 5425 2018-07-08 61000 26-35ys 5 ['web', 'email'] 20
## 5426 2018-05-31 42000 56-65ys 5 ['web', 'email'] 20
## 5427 2017-08-12 78000 56-65ys 5 ['web', 'email'] 20
## 5428 2015-10-18 93000 46-55ys 5 ['web', 'email'] 20
## 5429 2014-11-01 59000 36-45ys 5 ['web', 'email'] 20
## 5430 2018-04-29 81000 56-65ys 5 ['web', 'email'] 20
## 5431 2017-09-16 96000 56-65ys 5 ['web', 'email'] 20
## 5432 2015-08-06 55000 56-65ys 5 ['web', 'email'] 20
## 5433 2017-12-26 30000 46-55ys 5 ['web', 'email'] 20
## 5434 2014-11-11 91000 46-55ys 5 ['web', 'email'] 20
## 5435 2017-12-08 50000 36-45ys 5 ['web', 'email'] 20
## 5436 2017-09-21 40000 66-75ys 5 ['web', 'email'] 20
## 5437 2018-01-31 53000 76-85ys 5 ['web', 'email'] 20
## 5438 2017-08-08 82000 46-55ys 5 ['web', 'email'] 20
## 5439 2017-12-27 60000 56-65ys 5 ['web', 'email'] 20
## 5440 2015-08-15 78000 56-65ys 5 ['web', 'email'] 20
## 5441 2017-11-06 35000 46-55ys 5 ['web', 'email'] 20
## 5442 2014-11-11 91000 46-55ys 5 ['web', 'email'] 20
## 5443 2016-10-24 76000 66-75ys 5 ['web', 'email'] 20
## 5444 2018-02-24 62000 56-65ys 5 ['web', 'email'] 20
## 5445 2017-06-04 101000 76-85ys 5 ['web', 'email'] 20
## 5446 2017-12-09 94000 46-55ys 5 ['web', 'email'] 20
## 5447 2018-02-18 50000 56-65ys 5 ['web', 'email'] 20
## 5448 2017-01-03 89000 46-55ys 5 ['web', 'email'] 20
## 5449 2017-12-05 90000 46-55ys 5 ['web', 'email'] 20
## 5450 2016-06-09 69000 46-55ys 5 ['web', 'email'] 20
## 5451 2017-09-05 98000 46-55ys 5 ['web', 'email'] 20
## 5452 2016-02-23 87000 76-85ys 5 ['web', 'email'] 20
## 5453 2017-12-05 81000 76-85ys 5 ['web', 'email'] 20
## 5454 2017-10-08 95000 56-65ys 5 ['web', 'email'] 20
## 5455 2018-03-17 70000 56-65ys 5 ['web', 'email'] 20
## 5456 2018-03-16 52000 26-35ys 5 ['web', 'email'] 20
## 5457 2017-03-16 85000 46-55ys 5 ['web', 'email'] 20
## 5458 2016-04-29 68000 46-55ys 5 ['web', 'email'] 20
## 5459 2017-12-01 53000 36-45ys 5 ['web', 'email'] 20
## 5460 2018-04-30 31000 46-55ys 5 ['web', 'email'] 20
## 5461 2016-11-11 56000 36-45ys 5 ['web', 'email'] 20
## 5462 2018-04-11 65000 56-65ys 5 ['web', 'email'] 20
## 5463 2017-09-29 37000 46-55ys 5 ['web', 'email'] 20
## 5464 2017-07-27 73000 46-55ys 5 ['web', 'email'] 20
## 5465 2018-06-02 56000 56-65ys 5 ['web', 'email'] 20
## 5466 2015-05-01 47000 26-35ys 5 ['web', 'email'] 20
## 5467 2016-01-16 86000 56-65ys 5 ['web', 'email'] 20
## 5468 2017-10-19 72000 36-45ys 5 ['web', 'email'] 20
## 5469 2017-08-16 46000 18-25ys 5 ['web', 'email'] 20
## 5470 2016-04-25 58000 46-55ys 5 ['web', 'email'] 20
## 5471 2017-10-04 67000 56-65ys 5 ['web', 'email'] 20
## 5472 2014-05-14 40000 66-75ys 5 ['web', 'email'] 20
## 5473 2018-03-03 66000 66-75ys 5 ['web', 'email'] 20
## 5474 2018-01-31 94000 46-55ys 5 ['web', 'email'] 20
## 5475 2017-11-23 49000 36-45ys 5 ['web', 'email'] 20
## 5476 2017-12-14 30000 36-45ys 5 ['web', 'email'] 20
## 5477 2017-11-26 50000 56-65ys 5 ['web', 'email'] 20
## 5478 2017-12-12 82000 76-85ys 5 ['web', 'email'] 20
## 5479 2016-07-27 87000 56-65ys 5 ['web', 'email'] 20
## 5480 2018-02-23 54000 56-65ys 5 ['web', 'email'] 20
## 5481 2015-06-27 34000 18-25ys 5 ['web', 'email'] 20
## 5482 2018-03-25 70000 66-75ys 5 ['web', 'email'] 20
## 5483 2016-03-30 76000 56-65ys 5 ['web', 'email'] 20
## 5484 2018-07-16 70000 26-35ys 5 ['web', 'email'] 20
## 5485 2015-10-08 43000 18-25ys 5 ['web', 'email'] 20
## 5486 2016-07-23 95000 56-65ys 5 ['web', 'email'] 20
## 5487 2018-07-16 70000 26-35ys 5 ['web', 'email'] 20
## 5488 2018-05-06 62000 36-45ys 5 ['web', 'email'] 20
## 5489 2016-11-30 41000 46-55ys 5 ['web', 'email'] 20
## 5490 2014-02-03 92000 66-75ys 5 ['web', 'email'] 20
## 5491 2017-12-14 102000 46-55ys 5 ['web', 'email'] 20
## 5492 2018-02-20 104000 66-75ys 5 ['web', 'email'] 20
## 5493 2018-07-26 65000 46-55ys 5 ['web', 'email'] 20
## 5494 2014-02-11 37000 46-55ys 5 ['web', 'email'] 20
## 5495 2014-02-13 44000 26-35ys 5 ['web', 'email'] 20
## 5496 2017-04-18 69000 26-35ys 5 ['web', 'email'] 20
## 5497 2016-03-16 89000 66-75ys 5 ['web', 'email'] 20
## 5498 2017-10-06 69000 26-35ys 5 ['web', 'email'] 20
## 5499 2018-06-28 88000 56-65ys 5 ['web', 'email'] 20
## 5500 2015-02-19 63000 46-55ys 5 ['web', 'email'] 20
## 5501 2017-11-20 74000 46-55ys 5 ['web', 'email'] 20
## 5502 2017-12-25 51000 46-55ys 5 ['web', 'email'] 20
## 5503 2017-10-06 69000 26-35ys 5 ['web', 'email'] 20
## 5504 2017-12-17 68000 26-35ys 5 ['web', 'email'] 20
## 5505 2018-07-05 36000 36-45ys 5 ['web', 'email'] 20
## 5506 2016-03-16 89000 66-75ys 5 ['web', 'email'] 20
## 5507 2018-06-04 64000 66-75ys 5 ['web', 'email'] 20
## 5508 2015-03-30 61000 46-55ys 5 ['web', 'email'] 20
## 5509 2016-06-26 69000 18-25ys 5 ['web', 'email'] 20
## 5510 2017-08-06 30000 26-35ys 5 ['web', 'email'] 20
## 5511 2018-06-04 64000 66-75ys 5 ['web', 'email'] 20
## 5512 2017-07-20 65000 56-65ys 5 ['web', 'email'] 20
## 5513 2017-08-10 110000 76-85ys 5 ['web', 'email'] 20
## 5514 2018-01-29 80000 56-65ys 5 ['web', 'email'] 20
## 5515 2016-10-30 41000 > 86ys 5 ['web', 'email'] 20
## 5516 2017-10-15 47000 56-65ys 5 ['web', 'email'] 20
## 5517 2016-07-12 34000 46-55ys 5 ['web', 'email'] 20
## 5518 2015-10-11 52000 66-75ys 5 ['web', 'email'] 20
## 5519 2018-05-03 93000 76-85ys 5 ['web', 'email'] 20
## 5520 2017-09-10 30000 76-85ys 5 ['web', 'email'] 20
## 5521 2016-04-09 51000 56-65ys 5 ['web', 'email'] 20
## 5522 2017-09-13 73000 56-65ys 5 ['web', 'email'] 20
## 5523 2017-09-16 78000 36-45ys 5 ['web', 'email'] 20
## 5524 2016-04-09 51000 56-65ys 5 ['web', 'email'] 20
## 5525 2016-11-29 87000 66-75ys 5 ['web', 'email'] 20
## 5526 2018-07-17 40000 26-35ys 5 ['web', 'email'] 20
## 5527 2017-12-31 45000 36-45ys 5 ['web', 'email'] 20
## 5528 2018-01-02 50000 46-55ys 5 ['web', 'email'] 20
## 5529 2015-09-27 61000 18-25ys 5 ['web', 'email'] 20
## 5530 2018-03-25 91000 46-55ys 5 ['web', 'email'] 20
## 5531 2017-07-09 64000 36-45ys 5 ['web', 'email'] 20
## 5532 2017-06-06 109000 56-65ys 5 ['web', 'email'] 20
## 5533 2017-12-14 72000 56-65ys 5 ['web', 'email'] 20
## 5534 2017-11-29 70000 26-35ys 5 ['web', 'email'] 20
## 5535 2017-09-22 71000 46-55ys 5 ['web', 'email'] 20
## 5536 2014-06-11 76000 46-55ys 5 ['web', 'email'] 20
## 5537 2015-12-20 97000 66-75ys 5 ['web', 'email'] 20
## 5538 2018-01-13 42000 36-45ys 5 ['web', 'email'] 20
## 5539 2017-11-06 67000 56-65ys 5 ['web', 'email'] 20
## 5540 2016-01-03 104000 56-65ys 5 ['web', 'email'] 20
## 5541 2017-01-17 43000 46-55ys 5 ['web', 'email'] 20
## 5542 2018-05-28 77000 76-85ys 5 ['web', 'email'] 20
## 5543 2015-08-23 56000 46-55ys 5 ['web', 'email'] 20
## 5544 2018-01-02 50000 46-55ys 5 ['web', 'email'] 20
## 5545 2015-12-11 63000 > 86ys 5 ['web', 'email'] 20
## 5546 2016-08-04 103000 46-55ys 5 ['web', 'email'] 20
## 5547 2016-05-25 63000 56-65ys 5 ['web', 'email'] 20
## 5548 2017-02-11 82000 46-55ys 5 ['web', 'email'] 20
## 5549 2017-02-16 30000 46-55ys 5 ['web', 'email'] 20
## 5550 2016-02-17 57000 26-35ys 5 ['web', 'email'] 20
## 5551 2017-09-30 37000 66-75ys 5 ['web', 'email'] 20
## 5552 2017-10-29 92000 46-55ys 5 ['web', 'email'] 20
## 5553 2018-01-03 40000 26-35ys 5 ['web', 'email'] 20
## 5554 2015-02-27 43000 26-35ys 5 ['web', 'email'] 20
## 5555 2018-07-12 87000 66-75ys 5 ['web', 'email'] 20
## 5556 2015-03-04 32000 66-75ys 5 ['web', 'email'] 20
## 5557 2016-05-25 63000 56-65ys 5 ['web', 'email'] 20
## 5558 2016-08-12 68000 56-65ys 5 ['web', 'email'] 20
## 5559 2016-07-19 95000 36-45ys 5 ['web', 'email'] 20
## 5560 2017-12-28 76000 36-45ys 5 ['web', 'email'] 20
## 5561 2015-04-17 52000 66-75ys 5 ['web', 'email'] 20
## 5562 2014-05-26 75000 46-55ys 5 ['web', 'email'] 20
## 5563 2014-12-30 41000 66-75ys 5 ['web', 'email'] 20
## 5564 2017-08-27 61000 76-85ys 5 ['web', 'email'] 20
## 5565 2018-03-17 41000 26-35ys 5 ['web', 'email'] 20
## 5566 2017-10-08 57000 66-75ys 5 ['web', 'email'] 20
## 5567 2016-03-25 51000 56-65ys 5 ['web', 'email'] 20
## 5568 2017-12-17 115000 46-55ys 5 ['web', 'email'] 20
## 5569 2017-11-29 87000 56-65ys 5 ['web', 'email'] 20
## 5570 2016-04-01 72000 36-45ys 5 ['web', 'email'] 20
## 5571 2016-06-10 35000 26-35ys 5 ['web', 'email'] 20
## 5572 2017-12-09 33000 76-85ys 5 ['web', 'email'] 20
## 5573 2014-11-03 69000 26-35ys 5 ['web', 'email'] 20
## 5574 2018-01-25 55000 46-55ys 5 ['web', 'email'] 20
## 5575 2017-10-23 63000 18-25ys 5 ['web', 'email'] 20
## 5576 2018-01-16 50000 26-35ys 5 ['web', 'email'] 20
## 5577 2017-12-09 33000 76-85ys 5 ['web', 'email'] 20
## 5578 2017-10-01 101000 66-75ys 5 ['web', 'email'] 20
## 5579 2018-02-02 67000 18-25ys 5 ['web', 'email'] 20
## 5580 2017-10-31 86000 36-45ys 5 ['web', 'email'] 20
## 5581 2013-09-02 45000 56-65ys 5 ['web', 'email'] 20
## 5582 2018-06-02 96000 56-65ys 5 ['web', 'email'] 20
## 5583 2016-10-17 69000 36-45ys 5 ['web', 'email'] 20
## 5584 2016-10-11 75000 46-55ys 5 ['web', 'email'] 20
## 5585 2016-01-06 59000 66-75ys 5 ['web', 'email'] 20
## 5586 2017-02-01 48000 18-25ys 5 ['web', 'email'] 20
## 5587 2018-02-02 67000 18-25ys 5 ['web', 'email'] 20
## 5588 2017-09-09 71000 56-65ys 5 ['web', 'email'] 20
## 5589 2017-07-20 118000 46-55ys 5 ['web', 'email'] 20
## 5590 2015-10-14 86000 46-55ys 5 ['web', 'email'] 20
## 5591 2016-04-03 85000 76-85ys 5 ['web', 'email'] 20
## 5592 2017-07-20 118000 46-55ys 5 ['web', 'email'] 20
## 5593 2017-07-27 52000 56-65ys 5 ['web', 'email'] 20
## 5594 2017-08-06 39000 > 86ys 5 ['web', 'email'] 20
## 5595 2017-09-21 36000 46-55ys 5 ['web', 'email'] 20
## 5596 2018-01-16 76000 46-55ys 5 ['web', 'email'] 20
## 5597 2015-10-14 86000 46-55ys 5 ['web', 'email'] 20
## 5598 2015-07-30 60000 66-75ys 5 ['web', 'email'] 20
## 5599 2017-08-06 39000 > 86ys 5 ['web', 'email'] 20
## 5600 2015-09-06 85000 56-65ys 5 ['web', 'email'] 20
## 5601 2016-08-13 94000 46-55ys 5 ['web', 'email'] 20
## 5602 2018-05-24 65000 76-85ys 5 ['web', 'email'] 20
## 5603 2016-05-17 73000 56-65ys 5 ['web', 'email'] 20
## 5604 2017-10-24 98000 46-55ys 5 ['web', 'email'] 20
## 5605 2017-01-19 95000 56-65ys 5 ['web', 'email'] 20
## 5606 2018-05-27 68000 18-25ys 5 ['web', 'email'] 20
## 5607 2018-07-14 43000 26-35ys 5 ['web', 'email'] 20
## 5608 2017-09-26 89000 56-65ys 5 ['web', 'email'] 20
## 5609 2018-06-30 46000 18-25ys 5 ['web', 'email'] 20
## 5610 2018-07-04 42000 46-55ys 5 ['web', 'email'] 20
## 5611 2018-07-05 72000 18-25ys 5 ['web', 'email'] 20
## 5612 2017-08-01 38000 56-65ys 5 ['web', 'email'] 20
## 5613 2017-02-14 55000 46-55ys 5 ['web', 'email'] 20
## 5614 2016-02-15 100000 56-65ys 5 ['web', 'email'] 20
## 5615 2016-02-29 39000 > 86ys 5 ['web', 'email'] 20
## 5616 2016-01-31 90000 66-75ys 5 ['web', 'email'] 20
## 5617 2016-05-15 51000 56-65ys 5 ['web', 'email'] 20
## 5618 2016-07-30 64000 56-65ys 5 ['web', 'email'] 20
## 5619 2018-07-13 107000 56-65ys 5 ['web', 'email'] 20
## 5620 2016-11-30 70000 18-25ys 5 ['web', 'email'] 20
## 5621 2017-10-12 65000 > 86ys 5 ['web', 'email'] 20
## 5622 2015-10-10 86000 56-65ys 5 ['web', 'email'] 20
## 5623 2015-01-28 60000 56-65ys 5 ['web', 'email'] 20
## 5624 2016-10-27 89000 56-65ys 5 ['web', 'email'] 20
## 5625 2017-09-13 32000 36-45ys 5 ['web', 'email'] 20
## 5626 2017-10-23 40000 26-35ys 5 ['web', 'email'] 20
## 5627 2016-09-20 64000 66-75ys 5 ['web', 'email'] 20
## 5628 2015-09-10 35000 56-65ys 5 ['web', 'email'] 20
## 5629 2015-04-04 66000 56-65ys 5 ['web', 'email'] 20
## 5630 2018-01-11 39000 66-75ys 5 ['web', 'email'] 20
## 5631 2017-12-06 78000 66-75ys 5 ['web', 'email'] 20
## 5632 2017-05-08 99000 56-65ys 5 ['web', 'email'] 20
## 5633 2015-12-14 70000 36-45ys 5 ['web', 'email'] 20
## 5634 2017-08-13 75000 56-65ys 5 ['web', 'email'] 20
## 5635 2013-09-21 66000 36-45ys 5 ['web', 'email'] 20
## 5636 2015-01-13 74000 > 86ys 5 ['web', 'email'] 20
## 5637 2017-12-28 56000 26-35ys 5 ['web', 'email'] 20
## 5638 2015-10-19 61000 56-65ys 5 ['web', 'email'] 20
## 5639 2017-11-10 54000 76-85ys 5 ['web', 'email'] 20
## 5640 2018-01-27 66000 56-65ys 5 ['web', 'email'] 20
## 5641 2017-02-14 57000 66-75ys 5 ['web', 'email'] 20
## 5642 2016-10-30 52000 18-25ys 5 ['web', 'email'] 20
## 5643 2016-08-08 60000 56-65ys 5 ['web', 'email'] 20
## 5644 2018-05-28 43000 26-35ys 5 ['web', 'email'] 20
## 5645 2017-08-15 82000 56-65ys 5 ['web', 'email'] 20
## 5646 2018-06-21 80000 66-75ys 5 ['web', 'email'] 20
## 5647 2018-01-23 56000 46-55ys 5 ['web', 'email'] 20
## 5648 2018-02-28 54000 18-25ys 5 ['web', 'email'] 20
## 5649 2017-10-09 32000 36-45ys 5 ['web', 'email'] 20
## 5650 2017-06-13 71000 56-65ys 5 ['web', 'email'] 20
## 5651 2016-05-24 72000 76-85ys 5 ['web', 'email'] 20
## 5652 2017-06-13 71000 56-65ys 5 ['web', 'email'] 20
## 5653 2018-02-12 106000 66-75ys 5 ['web', 'email'] 20
## 5654 2017-09-27 88000 56-65ys 5 ['web', 'email'] 20
## 5655 2015-10-19 61000 56-65ys 5 ['web', 'email'] 20
## 5656 2013-11-10 66000 46-55ys 5 ['web', 'email'] 20
## 5657 2016-08-17 36000 36-45ys 5 ['web', 'email'] 20
## 5658 2018-04-24 32000 66-75ys 5 ['web', 'email'] 20
## 5659 2016-10-10 61000 56-65ys 5 ['web', 'email'] 20
## 5660 2017-10-25 53000 > 86ys 5 ['web', 'email'] 20
## 5661 2015-08-23 38000 76-85ys 5 ['web', 'email'] 20
## 5662 2017-04-30 84000 66-75ys 5 ['web', 'email'] 20
## 5663 2017-07-17 76000 46-55ys 5 ['web', 'email'] 20
## 5664 2017-11-14 56000 46-55ys 5 ['web', 'email'] 20
## 5665 2018-01-15 83000 56-65ys 5 ['web', 'email'] 20
## 5666 2017-08-07 34000 46-55ys 5 ['web', 'email'] 20
## 5667 2015-03-05 92000 46-55ys 5 ['web', 'email'] 20
## 5668 2016-04-07 35000 > 86ys 5 ['web', 'email'] 20
## 5669 2015-12-25 112000 66-75ys 5 ['web', 'email'] 20
## 5670 2017-10-25 58000 26-35ys 5 ['web', 'email'] 20
## 5671 2017-04-21 51000 26-35ys 5 ['web', 'email'] 20
## 5672 2017-03-07 105000 56-65ys 5 ['web', 'email'] 20
## 5673 2015-10-17 34000 66-75ys 5 ['web', 'email'] 20
## 5674 2014-07-25 61000 56-65ys 5 ['web', 'email'] 20
## 5675 2017-02-13 92000 56-65ys 5 ['web', 'email'] 20
## 5676 2013-08-22 98000 56-65ys 5 ['web', 'email'] 20
## 5677 2018-03-23 45000 18-25ys 5 ['web', 'email'] 20
## 5678 2017-02-15 105000 > 86ys 5 ['web', 'email'] 20
## 5679 2017-12-15 34000 56-65ys 5 ['web', 'email'] 20
## 5680 2018-07-16 102000 > 86ys 5 ['web', 'email'] 20
## 5681 2014-04-23 43000 56-65ys 5 ['web', 'email'] 20
## 5682 2016-07-25 57000 > 86ys 5 ['web', 'email'] 20
## 5683 2017-07-04 42000 36-45ys 5 ['web', 'email'] 20
## 5684 2018-05-16 72000 76-85ys 5 ['web', 'email'] 20
## 5685 2016-08-17 47000 56-65ys 5 ['web', 'email'] 20
## 5686 2016-10-25 41000 > 86ys 5 ['web', 'email'] 20
## 5687 2016-07-25 57000 > 86ys 5 ['web', 'email'] 20
## 5688 2017-09-02 85000 46-55ys 5 ['web', 'email'] 20
## 5689 2017-12-13 67000 > 86ys 5 ['web', 'email'] 20
## 5690 2018-01-02 88000 56-65ys 5 ['web', 'email'] 20
## 5691 2017-08-27 58000 36-45ys 5 ['web', 'email'] 20
## 5692 2017-12-13 67000 > 86ys 5 ['web', 'email'] 20
## 5693 2016-09-16 64000 26-35ys 5 ['web', 'email'] 20
## 5694 2017-10-23 40000 56-65ys 5 ['web', 'email'] 20
## 5695 2015-08-30 108000 66-75ys 5 ['web', 'email'] 20
## 5696 2014-08-28 82000 56-65ys 5 ['web', 'email'] 20
## 5697 2017-09-07 30000 18-25ys 5 ['web', 'email'] 20
## 5698 2016-12-18 85000 66-75ys 5 ['web', 'email'] 20
## 5699 2017-11-02 89000 36-45ys 5 ['web', 'email'] 20
## 5700 2015-12-19 69000 56-65ys 5 ['web', 'email'] 20
## 5701 2015-12-13 67000 46-55ys 5 ['web', 'email'] 20
## 5702 2016-09-16 64000 26-35ys 5 ['web', 'email'] 20
## 5703 2016-11-06 108000 56-65ys 5 ['web', 'email'] 20
## 5704 2017-11-29 58000 46-55ys 5 ['web', 'email'] 20
## 5705 2017-05-08 100000 46-55ys 5 ['web', 'email'] 20
## 5706 2018-07-11 93000 36-45ys 5 ['web', 'email'] 20
## 5707 2017-12-25 50000 26-35ys 5 ['web', 'email'] 20
## 5708 2017-04-25 35000 46-55ys 5 ['web', 'email'] 20
## 5709 2016-01-19 37000 26-35ys 5 ['web', 'email'] 20
## 5710 2017-11-10 79000 76-85ys 5 ['web', 'email'] 20
## 5711 2017-04-13 64000 46-55ys 5 ['web', 'email'] 20
## 5712 2017-11-10 79000 76-85ys 5 ['web', 'email'] 20
## 5713 2016-10-17 69000 46-55ys 5 ['web', 'email'] 20
## 5714 2015-11-01 51000 66-75ys 5 ['web', 'email'] 20
## 5715 2016-07-24 42000 56-65ys 5 ['web', 'email'] 20
## 5716 2018-01-25 70000 56-65ys 5 ['web', 'email'] 20
## 5717 2017-09-11 81000 46-55ys 5 ['web', 'email'] 20
## 5718 2015-12-14 83000 46-55ys 5 ['web', 'email'] 20
## 5719 2017-09-20 73000 26-35ys 5 ['web', 'email'] 20
## 5720 2017-10-11 31000 76-85ys 5 ['web', 'email'] 20
## 5721 2016-07-08 79000 56-65ys 5 ['web', 'email'] 20
## 5722 2018-05-16 53000 76-85ys 5 ['web', 'email'] 20
## 5723 2016-03-17 54000 56-65ys 5 ['web', 'email'] 20
## 5724 2017-03-17 109000 66-75ys 5 ['web', 'email'] 20
## 5725 2017-07-15 69000 56-65ys 5 ['web', 'email'] 20
## 5726 2016-07-11 30000 18-25ys 5 ['web', 'email'] 20
## 5727 2018-07-25 55000 56-65ys 5 ['web', 'email'] 20
## 5728 2017-08-25 35000 56-65ys 5 ['web', 'email'] 20
## 5729 2013-10-26 73000 46-55ys 5 ['web', 'email'] 20
## 5730 2018-05-16 53000 76-85ys 5 ['web', 'email'] 20
## 5731 2018-01-23 55000 56-65ys 5 ['web', 'email'] 20
## 5732 2016-07-26 55000 66-75ys 5 ['web', 'email'] 20
## 5733 2018-05-02 84000 > 86ys 5 ['web', 'email'] 20
## 5734 2016-12-01 63000 56-65ys 5 ['web', 'email'] 20
## 5735 2015-10-21 57000 76-85ys 5 ['web', 'email'] 20
## 5736 2016-02-15 103000 56-65ys 5 ['web', 'email'] 20
## 5737 2016-08-21 80000 46-55ys 5 ['web', 'email'] 20
## 5738 2014-07-19 56000 56-65ys 5 ['web', 'email'] 20
## 5739 2015-08-31 64000 66-75ys 5 ['web', 'email'] 20
## 5740 2016-03-16 79000 56-65ys 5 ['web', 'email'] 20
## 5741 2016-07-25 76000 56-65ys 5 ['web', 'email'] 20
## 5742 2018-04-21 33000 18-25ys 5 ['web', 'email'] 20
## 5743 2018-05-17 30000 36-45ys 5 ['web', 'email'] 20
## 5744 2018-06-29 36000 56-65ys 5 ['web', 'email'] 20
## 5745 2017-08-27 93000 56-65ys 5 ['web', 'email'] 20
## 5746 2016-04-06 95000 66-75ys 5 ['web', 'email'] 20
## 5747 2017-12-15 49000 36-45ys 5 ['web', 'email'] 20
## 5748 2016-09-03 59000 56-65ys 5 ['web', 'email'] 20
## 5749 2017-10-23 54000 76-85ys 5 ['web', 'email'] 20
## 5750 2016-07-04 112000 56-65ys 5 ['web', 'email'] 20
## 5751 2017-03-16 84000 > 86ys 5 ['web', 'email'] 20
## 5752 2016-04-06 95000 66-75ys 5 ['web', 'email'] 20
## 5753 2016-03-16 79000 56-65ys 5 ['web', 'email'] 20
## 5754 2017-12-30 105000 66-75ys 5 ['web', 'email'] 20
## 5755 2018-07-07 56000 46-55ys 5 ['web', 'email'] 20
## 5756 2015-05-20 38000 66-75ys 5 ['web', 'email'] 20
## 5757 2016-06-03 55000 46-55ys 5 ['web', 'email'] 20
## 5758 2018-03-13 51000 18-25ys 5 ['web', 'email'] 20
## 5759 2016-09-29 81000 56-65ys 5 ['web', 'email'] 20
## 5760 2016-12-22 72000 46-55ys 5 ['web', 'email'] 20
## 5761 2017-06-27 40000 26-35ys 5 ['web', 'email'] 20
## 5762 2016-01-24 40000 76-85ys 5 ['web', 'email'] 20
## 5763 2015-12-29 68000 66-75ys 5 ['web', 'email'] 20
## 5764 2017-08-27 93000 56-65ys 5 ['web', 'email'] 20
## 5765 2018-03-30 96000 > 86ys 5 ['web', 'email'] 20
## 5766 2016-10-01 74000 76-85ys 5 ['web', 'email'] 20
## 5767 2016-06-15 61000 36-45ys 5 ['web', 'email'] 20
## 5768 2017-11-30 61000 36-45ys 5 ['web', 'email'] 20
## 5769 2017-11-13 50000 36-45ys 5 ['web', 'email'] 20
## 5770 2017-08-12 62000 56-65ys 5 ['web', 'email'] 20
## 5771 2017-02-09 54000 46-55ys 5 ['web', 'email'] 20
## 5772 2017-06-27 40000 26-35ys 5 ['web', 'email'] 20
## 5773 2017-11-12 60000 36-45ys 5 ['web', 'email'] 20
## 5774 2016-04-12 66000 36-45ys 5 ['web', 'email'] 20
## 5775 2018-06-13 72000 36-45ys 5 ['web', 'email'] 20
## 5776 2013-08-03 66000 76-85ys 5 ['web', 'email'] 20
## 5777 2018-07-05 38000 76-85ys 5 ['web', 'email'] 20
## 5778 2017-11-09 76000 46-55ys 5 ['web', 'email'] 20
## 5779 2016-10-25 94000 56-65ys 5 ['web', 'email'] 20
## 5780 2015-08-03 102000 66-75ys 5 ['web', 'email'] 20
## 5781 2017-01-12 103000 66-75ys 5 ['web', 'email'] 20
## 5782 2017-09-01 35000 18-25ys 5 ['web', 'email'] 20
## 5783 2016-02-08 77000 76-85ys 5 ['web', 'email'] 20
## 5784 2018-04-05 58000 56-65ys 5 ['web', 'email'] 20
## 5785 2015-05-26 99000 > 86ys 5 ['web', 'email'] 20
## 5786 2017-08-15 86000 66-75ys 5 ['web', 'email'] 20
## 5787 2017-08-12 78000 56-65ys 5 ['web', 'email'] 20
## 5788 2017-06-07 90000 36-45ys 5 ['web', 'email'] 20
## 5789 2016-04-16 96000 46-55ys 5 ['web', 'email'] 20
## 5790 2017-07-26 95000 > 86ys 5 ['web', 'email'] 20
## 5791 2014-07-17 85000 66-75ys 5 ['web', 'email'] 20
## 5792 2016-11-18 63000 36-45ys 5 ['web', 'email'] 20
## 5793 2017-03-23 33000 26-35ys 5 ['web', 'email'] 20
## 5794 2018-04-05 58000 56-65ys 5 ['web', 'email'] 20
## 5795 2016-03-07 87000 56-65ys 5 ['web', 'email'] 20
## 5796 2017-02-17 32000 66-75ys 5 ['web', 'email'] 20
## 5797 2015-10-21 75000 46-55ys 5 ['web', 'email'] 20
## 5798 2016-05-07 85000 56-65ys 5 ['web', 'email'] 20
## 5799 2015-08-07 72000 46-55ys 5 ['web', 'email'] 20
## 5800 2017-02-17 32000 66-75ys 5 ['web', 'email'] 20
## 5801 2017-08-29 82000 56-65ys 5 ['web', 'email'] 20
## 5802 2016-05-01 81000 66-75ys 5 ['web', 'email'] 20
## 5803 2017-10-19 64000 66-75ys 5 ['web', 'email'] 20
## 5804 2017-09-27 118000 56-65ys 5 ['web', 'email'] 20
## 5805 2016-07-24 82000 56-65ys 5 ['web', 'email'] 20
## 5806 2015-11-14 118000 56-65ys 5 ['web', 'email'] 20
## 5807 2018-02-11 77000 46-55ys 5 ['web', 'email'] 20
## 5808 2018-03-29 79000 46-55ys 5 ['web', 'email'] 20
## 5809 2016-07-24 82000 56-65ys 5 ['web', 'email'] 20
## 5810 2015-07-14 62000 18-25ys 5 ['web', 'email'] 20
## 5811 2018-07-07 88000 46-55ys 5 ['web', 'email'] 20
## 5812 2017-09-05 39000 46-55ys 5 ['web', 'email'] 20
## 5813 2017-10-29 70000 56-65ys 5 ['web', 'email'] 20
## 5814 2015-11-14 118000 56-65ys 5 ['web', 'email'] 20
## 5815 2017-03-18 61000 26-35ys 5 ['web', 'email'] 20
## 5816 2015-10-20 75000 46-55ys 5 ['web', 'email'] 20
## 5817 2018-01-07 70000 56-65ys 5 ['web', 'email'] 20
## 5818 2016-02-07 84000 66-75ys 5 ['web', 'email'] 20
## 5819 2017-10-19 37000 26-35ys 5 ['web', 'email'] 20
## 5820 2018-02-26 74000 46-55ys 5 ['web', 'email'] 20
## 5821 2016-08-07 55000 66-75ys 5 ['web', 'email'] 20
## 5822 2017-10-19 37000 26-35ys 5 ['web', 'email'] 20
## 5823 2015-08-07 72000 46-55ys 5 ['web', 'email'] 20
## 5824 2016-10-14 53000 26-35ys 5 ['web', 'email'] 20
## 5825 2015-08-24 74000 56-65ys 5 ['web', 'email'] 20
## 5826 2016-08-31 71000 46-55ys 5 ['web', 'email'] 20
## 5827 2016-01-16 90000 46-55ys 5 ['web', 'email'] 20
## 5828 2016-01-16 90000 46-55ys 5 ['web', 'email'] 20
## 5829 2016-02-10 77000 66-75ys 5 ['web', 'email'] 20
## 5830 2017-11-04 91000 66-75ys 5 ['web', 'email'] 20
## 5831 2018-05-11 65000 36-45ys 5 ['web', 'email'] 20
## 5832 2016-11-30 44000 56-65ys 5 ['web', 'email'] 20
## 5833 2017-10-19 37000 26-35ys 5 ['web', 'email'] 20
## 5834 2017-10-23 50000 56-65ys 5 ['web', 'email'] 20
## 5835 2017-11-22 47000 56-65ys 5 ['web', 'email'] 20
## 5836 2018-01-09 72000 56-65ys 5 ['web', 'email'] 20
## 5837 2014-04-28 73000 56-65ys 5 ['web', 'email'] 20
## 5838 2016-12-25 58000 36-45ys 5 ['web', 'email'] 20
## 5839 2017-10-28 75000 66-75ys 5 ['web', 'email'] 20
## 5840 2017-04-08 97000 46-55ys 5 ['web', 'email'] 20
## 5841 2017-01-01 73000 46-55ys 5 ['web', 'email'] 20
## 5842 2017-11-12 75000 66-75ys 5 ['web', 'email'] 20
## 5843 2014-03-13 90000 76-85ys 5 ['web', 'email'] 20
## 5844 2015-07-20 67000 18-25ys 5 ['web', 'email'] 20
## 5845 2017-11-02 89000 66-75ys 5 ['web', 'email'] 20
## 5846 2017-02-26 112000 76-85ys 5 ['web', 'email'] 20
## 5847 2016-10-17 33000 56-65ys 5 ['web', 'email'] 20
## 5848 2014-03-13 90000 76-85ys 5 ['web', 'email'] 20
## 5849 2018-02-26 53000 46-55ys 5 ['web', 'email'] 20
## 5850 2017-06-22 79000 76-85ys 5 ['web', 'email'] 20
## 5851 2018-03-21 85000 > 86ys 5 ['web', 'email'] 20
## 5852 2018-05-23 36000 18-25ys 5 ['web', 'email'] 20
## 5853 2015-12-11 81000 56-65ys 5 ['web', 'email'] 20
## 5854 2014-09-19 33000 46-55ys 5 ['web', 'email'] 20
## 5855 2016-08-31 92000 76-85ys 5 ['web', 'email'] 20
## 5856 2017-01-18 101000 56-65ys 5 ['web', 'email'] 20
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## [ reached 'max' / getOption("max.print") -- omitted 142923 rows ]
Categorical and Numerical variables of final df:
#checking numerical cols of final df
numerical_cols <- sapply(final, is.numeric)
numerical_colnames <- names(final)[numerical_cols]
categorical_colnames <- names(final)[!numerical_cols]
max_length <- max(length(numerical_colnames), length(categorical_colnames))
numerical_colnames <- c(numerical_colnames, rep(NA, max_length - length(numerical_colnames)))
categorical_colnames <- c(categorical_colnames, rep(NA, max_length - length(categorical_colnames)))
var_df <- data.frame(Numeric = numerical_colnames, Categorical = categorical_colnames)
print(var_df)
## Numeric Categorical
## 1 days_elapsed value_data
## 2 hours_elapsed customer_id
## 3 age event
## 4 income value_key
## 5 reward gender
## 6 difficulty became_member_on
## 7 duration age_group
## 8 <NA> channels
## 9 <NA> offer_type
## 10 <NA> offer_alias
library(ezids)
## Warning in !is.null(rmarkdown::metadata$output) && rmarkdown::metadata$output
## %in% : 'length(x) = 2 > 1' in coercion to 'logical(1)'
# Get value counts for the 'event' column
event_value_counts <- table(df_cust_offer$event)
# Print the value counts
xkabledply(event_value_counts)
| V1 | |
|---|---|
| offer completed | 33579 |
| offer received | 76277 |
| offer viewed | 57725 |
| transaction | 138953 |
# EDA on event occurences
# Load the required libraries
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.2.3
library(plotly)
## Warning: package 'plotly' was built under R version 4.2.3
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
# Create a data frame from the event counts
event_counts_df <- data.frame(event = names(event_value_counts), count = as.numeric(event_value_counts))
# Define a vector of colors for four events
event_colors <- c("Coral", "Cyan", "Magenta", "Turquoise")
# Create a ggplot2 bar chart
p <- ggplot(event_counts_df, aes(x = event, y = count, fill = event)) +
geom_bar(stat = "identity") +
scale_fill_manual(values = event_colors) +
labs(title = "Event Distribution", x = "Event", y = "Count") +
theme_minimal() +
scale_y_continuous(breaks = seq(0, max(event_counts_df$count), by = 20000)) +
coord_flip() +
theme(panel.border = element_rect(color = "black", fill = NA),
panel.grid = element_blank(),
axis.text.x = element_text(face = "bold", color = "black"),
axis.text.y = element_text(face = "bold", color = "black"))
# Make the ggplot2 chart interactive using plotly
interactive_plot <- ggplotly(p)
# Display the interactive plot
interactive_plot
Observations:
The dataset contains 138,953 transactions, which is more than four times the number of completed offers. This suggests that many customers made multiple purchases without the influence of an offer. This indicates a high level of customer loyalty, which is expected, given that Starbucks primarily offers fast-moving consumer goods such as coffee and food.
During the campaign month, around 76,277 offers were sent to customers, and a remarkable 76% of these offers were viewed by customers. This high view rate reflects active customer engagement and suggests that the promotional slogans and design were effective in attracting customer attention.
And 33,579 offers were completed, accounting for 58% of the viewed offers and 44% of all the offers sent. This relatively high offer completion rate is indicative of strong customer loyalty, likely indicating a substantial number of regular customers who regularly participate in Starbucks’ promotions.
#Print min and max of days elapsed
min_days_elapsed <- min(df_cust_offer$days_elapsed)
max_days_elapsed <- max(df_cust_offer$days_elapsed)
cat("Minimum days_elapsed:", min_days_elapsed, "\n")
## Minimum days_elapsed: 0
cat("Maximum days_elapsed:", max_days_elapsed, "\n")
## Maximum days_elapsed: 29.75
#Print min and max of hours elapsed
min_hours_elapsed <- min(df_cust_offer$hours_elapsed)
max_hours_elapsed <- max(df_cust_offer$hours_elapsed)
cat("Minimum hours_elapsed:", min_hours_elapsed, "\n")
## Minimum hours_elapsed: 0
cat("Maximum hourss_elapsed:", max_hours_elapsed, "\n")
## Maximum hourss_elapsed: 714
# Events occurence over time histogram
library(ggplot2)
library(plotly)
# Create the histogram
hist_plot <- ggplot(df_cust_offer, aes(x = days_elapsed)) +
geom_histogram(
bins = 30,
fill = "blue",
color = "lightblue",
alpha = 0.7,
linewidth = 0.5
) +
labs(
x = "Days",
y = "Events Count",
title = "Events Occurrence over Time"
) +
theme_minimal() +
theme(
axis.text = element_text(size = 14),
axis.title = element_text(size = 14),
plot.title = element_text(size = 16),
panel.border = element_rect(color = "black", fill = NA, linewidth = 0.5),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank()
)
# Create an interactive plot
interactive_plot <- ggplotly(hist_plot, tooltip = "count") %>%
highlight_key(~count)
# Display the interactive plot
interactive_plot
The above plot reveals six distinct peaks of events during the campaign, primarily associated with the reception of offers, followed by subsequent events like offer views, completions, and purchases.
##Event Occurrences Across Time - A Detailed Analysis
# Libraries
library(dplyr)
# Subset the data for each event type and count occurrences per hour
viewed_hourly <- df_cust_offer %>%
filter(event == 'offer viewed') %>%
group_by(hours_elapsed) %>%
summarize(count = n()) %>%
arrange(hours_elapsed)
completed_hourly <- df_cust_offer %>%
filter(event == 'offer completed') %>%
group_by(hours_elapsed) %>%
summarize(count = n()) %>%
arrange(hours_elapsed)
transaction_hourly <- df_cust_offer %>%
filter(event == 'transaction') %>%
group_by(hours_elapsed) %>%
summarize(count = n()) %>%
arrange(hours_elapsed)
# Print the number of events for each type
cat("Number of 'offer viewed' events:", nrow(viewed_hourly), "\n")
## Number of 'offer viewed' events: 120
cat("Number of 'offer completed' events:", nrow(completed_hourly), "\n")
## Number of 'offer completed' events: 120
cat("Number of 'transaction' events:", nrow(transaction_hourly), "\n")
## Number of 'transaction' events: 120
# Compare index values between viewed_hourly and completed_hourly
matches_viewed_completed <- sum(viewed_hourly$hours_elapsed %in% completed_hourly$hours_elapsed)
# Compare index values between completed_hourly and transaction_hourly
matches_completed_transaction <- sum(completed_hourly$hours_elapsed %in% transaction_hourly$hours_elapsed)
# Print the results
cat("Number of matches between 'viewed_hourly' and 'completed_hourly':", matches_viewed_completed, "\n")
## Number of matches between 'viewed_hourly' and 'completed_hourly': 120
cat("Number of matches between 'completed_hourly' and 'transaction_hourly':", matches_completed_transaction, "\n")
## Number of matches between 'completed_hourly' and 'transaction_hourly': 120
The indices of all three Series are the same, signifying the hours elapsed since the campaign began. Now we can conveniently create plots to illustrate how events are distributed over time.
age# Create a side-by-side boxplot and histogram
par(mfrow = c(1, 2), mar = c(5, 4, 4, 2))
boxplot(customers$age, xlab = "Age", main = "Boxplot", col = "lightblue")
hist(customers$age, xlab = "Age", main = "Histogram", col = "lightblue")
# Adjust axis label sizes
par(cex.lab = 1.5)
# Print descriptive statistics
summary(customers$age)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 18.00 42.00 55.00 54.39 66.00 101.00
age_sd <- sd(customers$age)
# Print the standard deviation
cat("Standard Deviation of Age:", age_sd, "\n")
## Standard Deviation of Age: 17.38371
The customer age range spans from 18 years as the youngest to 101 years as the oldest.
The distribution of customer ages appears to approximate a normal distribution, with a mean and standard deviation of approximately 54 and 17, respectively.
genderlibrary(ggplot2)
library(plotly)
# Create a data frame with the count of each gender category
gender_counts <- table(customers$gender)
# Calculate percentages
gender_percentages <- round((gender_counts / sum(gender_counts)) * 100, 1)
# Define custom colors
custom_colors <- c("#FF6F61", "#6B5B95", "#88B04B") # You can use any color codes you like
# Create the 3D pie chart
pie_chart <- plot_ly(
labels = names(gender_counts),
values = gender_counts,
type = "pie",
textinfo = "label+percent",
marker = list(colors = custom_colors),
pull = c(0.1, 0.1, 0.2) # Adjust pull for exploding wedges
) %>%
layout(
title = "Gender Distribution",
scene = list(
aspectmode = "cube", # Center the chart
camera = list(eye = list(x = 1.25, y = 1.25, z = 0.85)) # 3D view settings
),
showlegend = FALSE
)
# Display the 3D pie chart
pie_chart
Observations: The customer base consists of a larger proportion of males (57.2%) compared to females (41.3%), with a minor representation (1.4%) from customers identifying with other genders.
library(ggplot2)
# Calculate age group percentages
age_group_percentage <- round(prop.table(table(customers$age_group)) * 100, 1)
# Create the bar plot
ggplot(data = NULL, aes(x = names(age_group_percentage), y = age_group_percentage)) +
geom_bar(stat = "identity", fill = "lightblue") +
labs(x = "Age", y = "Percentage %", title = "Age Distribution") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, hjust = 1, size = 12)) +
geom_text(aes(label = paste0(age_group_percentage, "%")), position = position_stack(vjust = 0.5), size = 4) +
scale_y_continuous(breaks = seq(0, 25, 5)) +
coord_flip()
The largest age group among customers is 56-65 years old, closely followed by the 46-55 years old group.
The third largest age group consists of customers aged 66-75 years.
Collectively, the top three age groups represent approximately 60% of the customer base.
This distribution is logical as individuals between 46 and 75 years of age tend to have more available time to visit cafes compared to younger age groups.
Additionally, they typically have better mobility than those above 75 years old, making them more likely to be cafe customers.
income# Set up the layout with 1 row and 2 columns for the plots
par(mfrow = c(1, 2), mar = c(5, 4, 4, 2))
# Create a boxplot for income
boxplot(customers$income, xlab = "Income", main = "Boxplot", col = "lightblue")
# Create a histogram for income
hist(customers$income, xlab = "Income", main = "Histogram", col = "lightblue")
# Adjust label sizes
par(cex.lab = 1.5)
# Print descriptive statistics for income
summary(customers$income)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 30000 49000 64000 65405 80000 120000
# Create a new column `income_group`
customers$income_group <- cut(customers$income,
breaks = c(min(customers$income), 45000, 60000, 75000, 90000, 105000, max(customers$income)),
labels = c('30-45k', '45-60k', '60-75k', '75-90k', '90-105k', '> 105k')
)
# Calculate income group percentages
income_group_percentage <- round(table(customers$income_group) / nrow(customers) * 100, 1)
# Create a barplot
bp <- barplot(income_group_percentage,
main = "Income Group Distribution",
xlab = "Income Group",
ylab = "Percentage",
col = "skyblue",
names.arg = levels(customers$income_group),
ylim = c(0, max(income_group_percentage) + 5)
)
# Add percentages within the bars
text(x = bp, y = income_group_percentage + 2, labels = paste(income_group_percentage, "%"), pos = 3)
# Add a legend
legend("topright", legend = paste(levels(customers$income_group), " (", income_group_percentage, "%)"), fill = "skyblue", bty = "n")
Customer Income Range: The income of customers spans from 30k to 120k, with an average income of 65.4k.
Dominant Income Groups: The top two income groups are those earning 60-75k and 45-60k annually, collectively representing around 50% of the customer base.
Resemblance to Population: The income distribution among customers closely mirrors that of the general population. However, individuals with very low income might face challenges affording frequent visits to cafes, while those with extremely high income might opt for alternative coffee enjoyment methods.
age vs gender# Load the ggplot2 library
library(ggplot2)
# Create a 2D scatterplot with additional aesthetics
ggplot(customers, aes(x = gender, y = age, color = gender)) +
geom_jitter(width = 0.3, alpha = 0.7, size = 1) + # Adjust point size for a 3D effect
labs(title = "Scatterplot of Age vs Gender", x = "Gender", y = "Age") +
scale_color_manual(values = c("#E41A1C", "#377EB8", "#4DAF4A")) + # Custom colors
theme_minimal() +
theme(plot.title = element_text(hjust = 0.5),
panel.grid.major.y = element_line(color = "gray90"),
axis.text.x = element_text(angle = 45, hjust = 1)) # Rotate x-axis labels for better visibility
Observations:
Women are more likely to visit Starbucks than men. This is because there are more women in the 20-30 age range, which is the most common age range for Starbucks customers.
Men are more likely to visit Starbucks in their 40s and 50s, while women are more likely to visit Starbucks in their 30s and 40s.
There is a slight correlation between age and gender, with younger customers being more likely to be female and older customers being more likely to be male.
income vs gender# Calculate the mean income for females
mean_income_female <- mean(customers$income[customers$gender == "F"], na.rm = TRUE)
# Calculate the mean income for males
mean_income_male <- mean(customers$income[customers$gender == "M"], na.rm = TRUE)
mean_income_others <- mean(customers$income[customers$gender == "O"], na.rm = TRUE)
# Print the results
cat("Mean Income for Females: $", round(mean_income_female, 2), "\n")
## Mean Income for Females: $ 71306.41
cat("Mean Income for Males: $", round(mean_income_male, 2), "\n")
## Mean Income for Males: $ 61194.6
cat("Mean Income for Males: $", round(mean_income_others, 2), "\n")
## Mean Income for Males: $ 63287.74
# Load the ggplot2 library
library(ggplot2)
# Create a scatterplot
ggplot(customers, aes(x = gender, y = income, color = gender)) +
geom_jitter(width = 0.3, alpha = 0.7, size = 1) +
labs(title = "Scatterplot of Income vs Gender", x = "Gender", y = "Income") +
scale_color_manual(values = c("#E41A1C", "#377EB8", "#4DAF4A")) + # Custom colors
theme_minimal() +
theme(plot.title = element_text(hjust = 0.5),
panel.grid.major.y = element_line(color = "gray90"),
axis.text.x = element_text(angle = 45, hjust = 1))
Male customers have a right-skewed income distribution, indicating that a larger proportion of male customers falls within the lower half of the income spectrum among the company’s customer base.
Female customers have a significantly higher average income compared to customers of other genders. This disparity in income may be attributed to the assumption that female customers, on average, are older than customers in other gender groups.
On average, female customers have an income of $71,000, while male customers have an average income of $61,000. Customers of other genders have an average income of $63,000.
income vs age# Load required libraries
library(ggplot2)
library(dplyr)
# Create a summary dataframe
summary_data <- customers %>%
group_by(age_group) %>%
summarize(mean_income = mean(income))
# Create the barplot
ggplot(summary_data, aes(x = age_group, y = mean_income, fill = age_group)) +
geom_bar(stat = "identity") +
labs(x = "Age Group", y = "Income") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) # Rotate x-axis labels for better readability
Customers in the two younger age groups (18-35 years old) have an average annual income of approximately $51,000 USD.
The middle age groups (36-55 years old) exhibit an average annual income of about $65,000 USD.
All age groups above 56 years old display very similar average annual incomes, hovering around $70,000 USD.
On average, older customers of the company tend to have higher incomes.
The company’s customers across all age groups have substantially higher average incomes compared to the median income of US citizens in 2018, which stood at $30,119 USD.
The use of the 2018 median income as a benchmark is justified because the dataset contains records only up to July 2018, and customer profile data, including income, is typically not frequently updated. Hence, it’s more relevant to compare customer income with the population’s income in the year they last became members.
income vs gender vs age# Load necessary libraries
library(plotly)
library(dplyr)
# Create a 3D scatterplot with Plotly
scatter_3d <- customers %>%
plot_ly(x = ~age, y = ~income, z = ~gender, color = ~gender, colors = c("#E41A1C", "#377EB8", "#4DAF4A"),
type = "scatter3d", mode = "markers",
marker = list(size = 2)) %>%
layout(scene = list(xaxis = list(title = "Age"),
yaxis = list(title = "Income"),
zaxis = list(title = "Gender")))
# Show the 3D scatterplot
scatter_3d
Income tends to increase with age for both men and women. This is evident from the fact that the scatterplot shows a general upward trend from left to right.
Another interesting thing we can observe is that female customers with higher incomes, on average, are older than customers in other gender groups.
->The customer base consists of a larger proportion of males (57.2%) compared to females (41.3%), with a minor representation (1.4%) from customers identifying with other genders. The customer age range spans from 18 years as the youngest to 101 years as the oldest. The income of customers spans from 30k to 120k, with an average income of 65.4k. The income distribution closely mirrors that of the general population. There is a logical relationship between age and cafe visits, as individuals between 46 and 75 years tend to have more available time to visit cafes. The income distribution varies between genders, with females having higher average incomes.
became_member_onlibrary(dplyr)
library(lubridate)
## Warning: package 'lubridate' was built under R version 4.2.3
##
## Attaching package: 'lubridate'
## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union
# Create a new data frame df_member
df_member <- customers %>%
select(id, became_member_on)
# Add columns `year`, `month`, `day_of_week`
df_member <- df_member %>%
mutate(
year = year(became_member_on),
month = month(became_member_on),
day = day(became_member_on),
month_name = month(became_member_on, label = TRUE),
day_of_week = wday(became_member_on, label = TRUE),
day_name = wday(became_member_on, label = TRUE, abbr = FALSE)
)
head(df_member, 3)
## id became_member_on year month day month_name
## 1 0610b486422d4921ae7d2bf64640c50b 2017-07-15 2017 7 15 Jul
## 2 78afa995795e4d85b5d9ceeca43f5fef 2017-05-09 2017 5 9 May
## 3 e2127556f4f64592b11af22de27a7932 2018-04-26 2018 4 26 Apr
## day_of_week day_name
## 1 Sat Saturday
## 2 Tue Tuesday
## 3 Thu Thursday
# Load the ggplot2 library if not already loaded
library(ggplot2)
# Create a count plot with detailed customization and values
ggplot(data = df_member, aes(x = year, fill = factor(year))) +
geom_bar(color = "black", width = 0.7, position = "dodge") +
geom_text(aes(label = after_stat(count)), stat = "count", vjust = -0.5, size = 4, color = "black") +
scale_fill_brewer(palette = "Set1") + # Use a predefined color palette
labs(title = "Number of New Members by Year", x = "Year", y = "Count") +
theme_minimal() +
theme(axis.text.x = element_text(size = 12, angle = 45, hjust = 1),
axis.text.y = element_text(size = 12),
axis.title.x = element_text(size = 14),
axis.title.y = element_text(size = 14
)
)
# Load the required libraries if not already loaded
library(dplyr)
library(tidyr)
## Warning: package 'tidyr' was built under R version 4.2.3
# Create a time series with the number of new members on each day
df_member_growth <- df_member %>%
count(became_member_on) %>%
arrange(became_member_on) %>%
rename(`Number of New Members` = n)
# Assuming df_member_growth is already defined
# Create four phases with different daily growth
# Phase 1: '2013-july' to '2015-july'
phase_1 <- df_member_growth %>%
filter(became_member_on >= as.Date('2013-07-01') & became_member_on <= as.Date('2015-07-31'))
len_phase_1 <- nrow(phase_1)
mean_phase_1 <- mean(phase_1$`Number of New Members`)
# Phase 2: '2015-august' to '2017-july'
phase_2 <- df_member_growth %>%
filter(became_member_on >= as.Date('2015-08-01') & became_member_on <= as.Date('2017-07-31'))
len_phase_2 <- nrow(phase_2)
mean_phase_2 <- mean(phase_2$`Number of New Members`)
# Phase 3: '2017-august' to '2018-jan'
phase_3 <- df_member_growth %>%
filter(became_member_on >= as.Date('2017-08-01') & became_member_on <= as.Date('2018-01-31'))
len_phase_3 <- nrow(phase_3)
mean_phase_3 <- mean(phase_3$`Number of New Members`)
# Phase 4: '2018-feb' to '2018-july'
phase_4 <- df_member_growth %>%
filter(became_member_on >= as.Date('2018-02-01') & became_member_on <= as.Date('2018-07-31'))
len_phase_4 <- nrow(phase_4)
mean_phase_4 <- mean(phase_4$`Number of New Members`)
# Load the ggplot2 library if not already loaded
library(ggplot2)
# Define the means and lengths for each phase
mean_phases <- c(mean_phase_1, mean_phase_2, mean_phase_3, mean_phase_4)
len_phases <- c(len_phase_1, len_phase_2, len_phase_3, len_phase_4)
# Create a data frame with phase information
phase_info <- data.frame(
phase = c("Phase 1", "Phase 2", "Phase 3", "Phase 4"),
start_date = as.Date(c('2013-07-01', '2015-08-01', '2017-08-01', '2018-02-01')),
end_date = as.Date(c('2015-07-31', '2017-07-31', '2018-01-31', '2018-07-31')),
mean = mean_phases
)
# Create the plot with phases and mean values
ggplot(data = df_member_growth) +
geom_line(aes(x = became_member_on, y = `Number of New Members`)) +
geom_hline(data = phase_info, aes(yintercept = mean), linetype = "dashed", color = "red", size = 1) +
geom_vline(data = phase_info, aes(xintercept = start_date), linetype = "dotted", color = "blue", size = 1) +
geom_vline(data = phase_info, aes(xintercept = end_date), linetype = "dotted", color = "blue", size = 1) +
labs(
x = "Date",
y = "Number of New Members",
title = "Daily Member Growth",
subtitle = "Phase-wise",
caption = "Red dashed lines represent mean values for each phase"
) +
scale_x_date(date_labels = "%Y-%b", date_breaks = "3 months") +
theme_minimal() +
theme(
plot.title = element_text(size = 20, face = "bold"),
axis.title = element_text(size = 16),
axis.text.x = element_text(size = 14, angle = 45, hjust = 1),
axis.text.y = element_text(size = 14),
legend.position = "none" # Hide the legend
)
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
The dataset includes customers who became members between July 2013 and July 2018.
Only a small percentage of customers (approximately 2.2%) chose to become members from 2013 to the middle of 2015.
The number of new members started to increase significantly from the middle of 2015 and experienced a substantial growth spike from the middle of 2017. This suggests that the company likely executed successful campaigns during these periods, resulting in a significant boost in member growth.
However, in early 2018, there was a noticeable decline in daily member growth, with a 31% decrease (from 24.4 to 16.8). This drop may indicate that new strategies implemented during that time had a negative impact on member growth.
# Load the ggplot2 library if not already loaded
library(ggplot2)
# Create a detailed and rainbow-colored count plot
ggplot(data = df_member, aes(x = month_name)) +
geom_bar(fill = rainbow(length(unique(df_member$month_name)), s = 0.7, v = 0.8), color = "black", width = 0.7) +
labs(
title = "Number of New Members by Month",
x = "Count",
y = "Month"
) +
scale_fill_identity() +
theme_minimal() +
theme(
axis.text.x = element_text(size = 12, angle = 45, hjust = 1),
axis.text.y = element_text(size = 12),
axis.title.x = element_text(size = 14)
)
# Load the ggplot2 library if not already loaded
library(ggplot2)
# Create a custom color palette
my_colors <- c("#3498db", "#e74c3c", "#2ecc71", "#f1c40f", "#9b59b6", "#e67e22", "#1abc9c")
# Create a detailed and appealing count plot by weekday
ggplot(data = df_member, aes(x = factor(day_name, levels = c("Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"))) ) +
geom_bar(fill = my_colors, color = "black", width = 0.7) +
labs(
title = "Number of New Members by Weekday",
x = "Count",
y = "Weekday"
) +
scale_x_discrete(labels = c("Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday")) +
theme_minimal() +
theme(
axis.text.x = element_text(size = 12, angle = 45, hjust = 1),
axis.text.y = element_text(size = 12),
axis.title.x = element_text(size = 14)
)
August, October, and December experienced the highest influx of new members, with August leading the way.
Conversely, February had the lowest average number of new members, indicating a drop in membership during this month.
Weekends, unsurprisingly, had higher member growth compared to weekdays. Among weekdays, Tuesday showed the highest member growth.
On average, Friday had the fewest new members, making it the day with the lowest member sign-ups.
-> The dataset includes customers who became members between July 2013 and July 2018. Daily member growth increased significantly from the middle of 2015, with a substantial spike in growth from the middle of 2017, suggesting successful campaigns during these periods. However, there was a noticeable decline in early 2018, indicating that new strategies implemented at that time may have had a negative impact on member growth. August, October, and December experienced the highest influx of new members, with weekends and Tuesdays showing higher member growth. The data indicates fluctuations in member growth over time.
df_offers
## reward channels difficulty duration
## 1 5 ['web', 'email', 'mobile'] 5 7
## 2 5 ['web', 'email', 'mobile', 'social'] 5 5
## 3 10 ['email', 'mobile', 'social'] 10 7
## 4 10 ['web', 'email', 'mobile', 'social'] 10 5
## 5 3 ['web', 'email', 'mobile', 'social'] 7 7
## 6 2 ['web', 'email', 'mobile', 'social'] 10 10
## 7 2 ['web', 'email', 'mobile'] 10 7
## 8 5 ['web', 'email'] 20 10
## 9 0 ['web', 'email', 'mobile'] 0 4
## 10 0 ['email', 'mobile', 'social'] 0 3
## offer_type id offer_alias
## 1 bogo 9b98b8c7a33c4b65b9aebfe6a799e6d9 A
## 2 bogo f19421c1d4aa40978ebb69ca19b0e20d B
## 3 bogo ae264e3637204a6fb9bb56bc8210ddfd C
## 4 bogo 4d5c57ea9a6940dd891ad53e9dbe8da0 D
## 5 discount 2298d6c36e964ae4a3e7e9706d1fb8c2 E
## 6 discount fafdcd668e3743c1bb461111dcafc2a4 F
## 7 discount 2906b810c7d4411798c6938adc9daaa5 G
## 8 discount 0b1e1539f2cc45b7b9fa7c272da2e1d7 H
## 9 informational 3f207df678b143eea3cee63160fa8bed I
## 10 informational 5a8bc65990b245e5a138643cd4eb9837 J
head(df_cust_offer)
## customer_id event days_elapsed hours_elapsed
## 1 78afa995795e4d85b5d9ceeca43f5fef offer received 0 0
## 2 a03223e636434f42ac4c3df47e8bac43 offer received 0 0
## 3 e2127556f4f64592b11af22de27a7932 offer received 0 0
## 4 8ec6ce2a7e7949b1bf142def7d0e0586 offer received 0 0
## 5 68617ca6246f4fbc85e91a2a49552598 offer received 0 0
## 6 389bc3fa690240e798340f5a15918d5c offer received 0 0
## value_key value_data
## 1 offer id 9b98b8c7a33c4b65b9aebfe6a799e6d9
## 2 offer id 0b1e1539f2cc45b7b9fa7c272da2e1d7
## 3 offer id 2906b810c7d4411798c6938adc9daaa5
## 4 offer id fafdcd668e3743c1bb461111dcafc2a4
## 5 offer id 4d5c57ea9a6940dd891ad53e9dbe8da0
## 6 offer id f19421c1d4aa40978ebb69ca19b0e20d
library(dplyr)
# Create a dataframe that only contains events about offers
df_event <- df_cust_offer %>% filter(event != "transaction")
# Merge df_event with df_offers
event_offer <- df_event %>%
left_join(df_offers, by = c("value_data" = "id")) %>%
select(
customer_id, event, offer_alias, reward, channels, difficulty,
duration, offer_type, days_elapsed
)
head(event_offer)
## customer_id event offer_alias reward
## 1 78afa995795e4d85b5d9ceeca43f5fef offer received A 5
## 2 a03223e636434f42ac4c3df47e8bac43 offer received H 5
## 3 e2127556f4f64592b11af22de27a7932 offer received G 2
## 4 8ec6ce2a7e7949b1bf142def7d0e0586 offer received F 2
## 5 68617ca6246f4fbc85e91a2a49552598 offer received D 10
## 6 389bc3fa690240e798340f5a15918d5c offer received B 5
## channels difficulty duration offer_type
## 1 ['web', 'email', 'mobile'] 5 7 bogo
## 2 ['web', 'email'] 20 10 discount
## 3 ['web', 'email', 'mobile'] 10 7 discount
## 4 ['web', 'email', 'mobile', 'social'] 10 10 discount
## 5 ['web', 'email', 'mobile', 'social'] 10 5 bogo
## 6 ['web', 'email', 'mobile', 'social'] 5 5 bogo
## days_elapsed
## 1 0
## 2 0
## 3 0
## 4 0
## 5 0
## 6 0
# Drop the 'dict_value' column, as 'offer_alias' provides the offer identifier
#event_offer <- event_offer %>% select(-value_data)
# Filter the events for 'offer received' and 'offer completed'
offer_received <- event_offer[event_offer$event == 'offer received', ]
offer_completed <- event_offer[event_offer$event == 'offer completed', ]
# Count the number of times each offer is received and completed
p0 <- table(offer_received$offer_alias)
p2 <- table(offer_completed$offer_alias)
# Ensure both p0 and p2 have the same names
combined_names <- intersect(names(p0), names(p2))
p0 <- p0[combined_names]
p2 <- p2[combined_names]
# Calculate the overall completion rate
overall_complete_rate <- (p2 / p0)*100
# Sort the overall completion rate in descending order
overall_complete_rate <- overall_complete_rate[order(overall_complete_rate*100, decreasing = TRUE)]
print(overall_complete_rate)
##
## F E B A G C H D
## 69.98815 67.43395 56.74283 56.71486 52.63365 48.15879 44.60094 43.86935
# Install and load necessary packages
library(ggplot2)
# Create a data frame for visualization
completion_data <- data.frame(
Offer = names(overall_complete_rate),
CompletionRate <- overall_complete_rate
)
completion_data <- completion_data %>% arrange(desc(CompletionRate))
# Create the bar plot
ggplot(completion_data, aes(x = Offer, y = CompletionRate)) +
geom_bar(stat = "identity", fill = "skyblue") +
theme_minimal() +
labs(
title = "Overall Completion Rate %",
x = "Offer",
y = "Percentage",
ylim(0, 1.2),
y.axis.text = c('0%', '20%', '40%', '60%', '80%', '100%')
) +
theme(axis.text.x = element_text(angle = 45, hjust = 1)+
geom_text(aes(label = scales::percent(CompletionRate, scale = 100)), vjust = -0.5, size = 4)+
scale_y_continuous(labels = scales::percent_format(scale = 1), breaks = seq(0, 1, by = 0.2)) ) # Format y-axis as percentage
## Don't know how to automatically pick scale for object of type <table>.
## Defaulting to continuous.
# Add data labels
# Rotate x-axis labels
Note that Offers I and J are excluded from the plot because they are informational offers and, as a result, they do not have any ‘offer completed’ events associated with them.
Observations: 1. With remarkable completion rates of 70%, 67.4%, and 56.7%, respectively, are Offer F, Offer E, and Offer B. These incentives worked quite well to motivate clients to do the related duties. 2. Offer D, on the other hand, had the lowest completion rate of approximately 44%. This implies that, in comparison to the best offers, this one could not have been as enticing or successful in drawing in clients.
# Filter the event_offer data frame for 'offer received' events
offer_received <- event_offer[event_offer$event == 'offer received', ]
# Count the number of times each offer was received
p0 <- table(offer_received$offer_alias)
# Create a data frame for visualization
offer_received_data <- data.frame(
Offer = names(p0),
Count = as.numeric(p0)
)
bar_color <- "#D68060"
# Create the bar plot
barplot(p0,
names.arg = names(p0),
col = bar_color,
border = "black", # Add a black border
xlab = 'Offers',
ylab = 'Count of Offers',
main = 'Offer Received',
cex.main = 1.8,
cex.lab = 1.5,
cex.axis = 1.2)
Observation: Each of the ten offers received a similar number of times, with approximately 7,600 receptions for each offer. The distribution of offer receptions was consistent, indicating that there was no significant discrepancy in how often different offers were received by customers.
# Number of offers
num_offers <- nrow(df_offers)
# Create an empty data frame to store the counts
each_offer_received <- data.frame(matrix(ncol = num_offers))
colnames(each_offer_received) <- LETTERS[1:num_offers]
# Loop through the offers and count how many times each offer was received on each day
for (i in 1:num_offers) {
offer_alias <- LETTERS[i]
offer_received_counts <- table(df_event[df_event$offer_alias == offer_alias, "days_since_start"])
each_offer_received[, i] <- offer_received_counts
}
# Set row names explicitly
row_names <- paste0('Day', unique(df_event$days_since_start))
rownames(each_offer_received) <- row_names
# Subset the data for 'offer viewed' events
offer_viewed <- event_offer[event_offer$event == "offer viewed", ]
# Count the number of times each offer was viewed
p1 <- table(offer_viewed$offer_alias)
# Calculate the view rate for each offer
p1_rate <- p1 / p0
# Sort the view rates in descending order
p1_rate <- p1_rate[order(p1_rate, decreasing = TRUE)]
# Create a bar plot
barplot(p1_rate, col = c('#011f4b', '#011f4b', '#011f4b', '#011f4b', '#03396c', '#03396c', '#005b96', '#005b96', '#005b96', '#b3cde0'),
names.arg = names(p1_rate),
main = 'View Rate Percentage',
xlab = 'Offers',
ylab = 'Percentage',
ylim = c(0, 1.2),
yaxt = 'n')
axis(2, at = seq(0, 1.2, 0.2), labels = paste0(seq(0, 1.2, 0.2) * 100, '%'))
# Show the plot
Observations: The results are quite intriguing. When we look at the bar plot with 10 bars, each representing a different offer, we can see that these bars can be grouped into four distinct levels of height. These four levels correspond to four specific combinations of promotion channels. This alignment is also reflected in the colors used in the plot to represent each offer.
Group-1: (F D E B) email, mobile, social, web Group-2: (J C) email, mobile, social Group-3: (I A G) email, mobile, web Group-4: (H) email, web
Conclusions: The study draws attention to how different promotion channels differ in their efficacy: 1. Web-based offers (Group 1) have a little greater view rate than Group 2, but their overall contribution is minimal when compared to Group 2. 2. Group 2, which consists of advertisements on social media, is notable for having a much greater view rate. Offers from social media platforms significantly affect the view rate. 3. Group 3, which features promotions for mobile apps, likewise does well and has a higher view rate. 4. Group 4, which is dominated by email and has a little web component, lessens the impact of web-based offers. Email promotions have a significant and marginally better influence on view rates than mobile promotions, as evidenced by the fact that the majority of offers in Group 4 are viewed via email.
To sum up, the offer view rate was influenced by all promotion channels, however their relative importance differed. In terms of relevance, social media was the most influential, followed by websites, email, smartphones, and so on.
library(ggplot2)
library(dplyr)
# Count the occurrences of each channel
channel_counts <- df_offers %>%
group_by(channels) %>%
summarise(count = n())
ggplot(channel_counts, aes(x = channels, y = count)) +
geom_bar(stat = "identity", fill = "#618264", color = "black", size = 0.2) +
labs(x = "Channels", y = "Count", title = "Promotional Channels") +
theme_minimal()
OBSERVATIONS: Customers received offers via a combination of four different promotion channels: social media, email, mobile apps, and websites. The 10 offers use 4 different combinations of channels. Comparisons between offers using various channels can be used to determine the promotional impact of each channel. And from the above plot, it is clearly visible that combination of all the four channels leads.
#Correlation between rewards, difficulty and duration
correlation_matrix <- cor(df_offers[, c('reward', 'difficulty', 'duration')])
heatmap(correlation_matrix, main='Correlation between rewards, difficulty and duration',cexRow = 1,cexCol = 1)
INTERPRETATION
The above observations shows that the variables reward and difficulty , reward and duration had a positive correlation indicating that with increase in reward, duration and the difficulty will also increase.
Difficulty and reward also seems to have a positive correlation indicating that increase in difficulty tends to increase the reward.
#Offers based on difficulty and channels through which they are offered
custom_colors <- c("#BF8B67", "#632626", "#9D5353", "#D0B8A8")
ggplot(df_offers, aes(x = as.factor(difficulty), fill = channels)) +
geom_bar(position = 'stack', color = 'black', size = 0.5) +
scale_fill_manual(values = custom_colors) + # Use custom colors
labs(y = 'Number of Offers', x = 'Difficulty of Offers',
title = 'Offers based on difficulty and channels through which they are offered') +
theme_minimal() +
theme(legend.position = "bottom")
colors <- c("#EFF6EE", "#273043", "#9197AE","darkgray")
pie(channel_counts$count, labels = channel_counts$channels, main='Distribution of Number of Channels per Offer', col=colors)
legend("bottomleft", legend=channel_counts$count, fill=colors, title="Occurance of Channels")
OBSERVATION: The above observation shows that the combination of 3 channels had the maximum count per offer.
colors <- c("#ad6a6c", "#d0ada7", "#e8d6cb")
# Count the frequency of each offer type
offer_counts <- table(final$offer_type)
ggplot(data = as.data.frame(offer_counts), aes(x = Var1, y = Freq)) +
geom_bar(stat = "identity", fill = colors, color = "black") +
labs(title = "Frequency of Each Offer Type",
x = "Offer Type",
y = "Count") +
scale_fill_manual(values = colors)
OBSERVATION:
From the above observation BOGO and the discount offer type has the maximum count of nearly 66,000 and 62,000 respectively while the informational offer had the least count.
# Summarize the data to get counts
counts <- final %>%
group_by(offer_type, event) %>%
summarize(count = n())
## `summarise()` has grouped output by 'offer_type'. You can override using the
## `.groups` argument.
colors <- c("#34BE82", "#FF7F3F", "#1746A2")
# Create a stacked bar plot
ggplot(counts, aes(x = offer_type, y = count, fill = event)) +
geom_bar(stat = "identity", position = "dodge") +
labs(title = "Event Counts for Each Offer Type",
x = "Offer Type",
y = "Count") +
scale_fill_manual(values = colors)
INTERPRETATIONS:
BOGO offer appears to be especially successful in views and decent with the completions, indicating a strong level of customer interest.
On the other hand discount offer does attract better customers but slightly less than BOGO.
However informational offers did not result in any completion of the offer and also had only a notable views and receiving which is much less compared to both BOGO and discount.
To conclude, based on the completions, discount offer had an upper hand as it attracted many customers.
# Offer Preferences by Age Group
age_offer_counts <- final %>%
group_by(age_group, offer_type) %>%
summarize(count = n())
## `summarise()` has grouped output by 'age_group'. You can override using the
## `.groups` argument.
colors <- c("#ad6a6c", "#d0ada7", "#e8d6cb")
ggplot(age_offer_counts, aes(x = age_group, y = count, fill = offer_type)) +
geom_bar(stat = 'identity', position = 'dodge') +
labs(title = 'Offer Type Preferences by Age Group',
x = 'Age Group',
y = 'Count') +
theme_minimal() +
theme(axis.text.x = element_text(angle = 50, vjust = 1, hjust = 1)) +
scale_fill_manual(values = colors)
str(final)
## 'data.frame': 148805 obs. of 17 variables:
## $ value_data : chr "0b1e1539f2cc45b7b9fa7c272da2e1d7" "0b1e1539f2cc45b7b9fa7c272da2e1d7" "0b1e1539f2cc45b7b9fa7c272da2e1d7" "0b1e1539f2cc45b7b9fa7c272da2e1d7" ...
## $ customer_id : chr "9b4db663f6f74fcca53c50b9bbbdc115" "84a64f55640543db95c7f53a460fcb39" "2584539e0cdc4fb2b3e5f96a4926be39" "8f74115993464fdb90658daeef20a4d6" ...
## $ event : chr "offer received" "offer received" "offer received" "offer viewed" ...
## $ days_elapsed : num 24 7 17 20.5 17.2 ...
## $ hours_elapsed : int 576 168 408 492 414 408 228 336 588 606 ...
## $ value_key : chr "offer id" "offer id" "offer id" "offer id" ...
## $ gender : chr "F" "F" "M" "F" ...
## $ age : int 75 76 19 71 57 48 65 62 64 67 ...
## $ became_member_on: Date, format: "2018-07-09" "2017-12-24" ...
## $ income : num 93000 57000 67000 71000 40000 62000 116000 111000 72000 94000 ...
## $ age_group : Factor w/ 8 levels "18-25ys","26-35ys",..: 6 6 1 6 5 4 5 5 5 6 ...
## $ reward : int 5 5 5 5 5 5 5 5 5 5 ...
## $ channels : chr "['web', 'email']" "['web', 'email']" "['web', 'email']" "['web', 'email']" ...
## $ difficulty : int 20 20 20 20 20 20 20 20 20 20 ...
## $ duration : int 10 10 10 10 10 10 10 10 10 10 ...
## $ offer_type : chr "discount" "discount" "discount" "discount" ...
## $ offer_alias : chr "H" "H" "H" "H" ...
head(final)
## value_data customer_id
## 1 0b1e1539f2cc45b7b9fa7c272da2e1d7 9b4db663f6f74fcca53c50b9bbbdc115
## 2 0b1e1539f2cc45b7b9fa7c272da2e1d7 84a64f55640543db95c7f53a460fcb39
## 3 0b1e1539f2cc45b7b9fa7c272da2e1d7 2584539e0cdc4fb2b3e5f96a4926be39
## 4 0b1e1539f2cc45b7b9fa7c272da2e1d7 8f74115993464fdb90658daeef20a4d6
## 5 0b1e1539f2cc45b7b9fa7c272da2e1d7 48f2a019ef4940b1863ca3d5967f2944
## 6 0b1e1539f2cc45b7b9fa7c272da2e1d7 422466659dc94890a4e044633de07d39
## event days_elapsed hours_elapsed value_key gender age
## 1 offer received 24.00 576 offer id F 75
## 2 offer received 7.00 168 offer id F 76
## 3 offer received 17.00 408 offer id M 19
## 4 offer viewed 20.50 492 offer id F 71
## 5 offer completed 17.25 414 offer_id F 57
## 6 offer received 17.00 408 offer id M 48
## became_member_on income age_group reward channels difficulty duration
## 1 2018-07-09 93000 66-75ys 5 ['web', 'email'] 20 10
## 2 2017-12-24 57000 66-75ys 5 ['web', 'email'] 20 10
## 3 2017-05-07 67000 18-25ys 5 ['web', 'email'] 20 10
## 4 2017-01-24 71000 66-75ys 5 ['web', 'email'] 20 10
## 5 2016-08-13 40000 56-65ys 5 ['web', 'email'] 20 10
## 6 2015-11-15 62000 46-55ys 5 ['web', 'email'] 20 10
## offer_type offer_alias
## 1 discount H
## 2 discount H
## 3 discount H
## 4 discount H
## 5 discount H
## 6 discount H
OBSERVATIONS: THis plot represent the distribution of offers (BOGO, discount, and informational) across different age groups. It is clearly visible that BOGO offers is the highest across all age groups, then the discounts and informational stands at the last. This plot gives an overview of how the offers are being distributed among various age groups.
#Offer Type Preferences by Gender
offer_counts <- table(final$gender, final$offer_type)
offer_counts_df <- as.data.frame(offer_counts)
colnames(offer_counts_df) <- c('gender', 'offer_type', 'count')
# Plot using ggplot2
ggplot(offer_counts_df, aes(x = gender, y = count, fill = offer_type)) +
geom_bar(stat = 'identity', position = 'dodge') +
labs(title = 'Offer Type Preferences by Gender',
x = 'Gender',
y = 'Count') +
theme_minimal() +scale_fill_manual(values = colors)
OBSERVATIONS: This indicates the engagement patterns with different offer types such as BOGO, Discount, and Informational offers for different gender categories(Female,male, other)
1)Men show more engagement than women and other gender categories in all the three offer types(BOGO, discount, informational).
2)Women show a huge count of involvement, but are slightly behind men with no much difference.
# Filter data for each gender
final_male <- final %>% filter(gender == "M")
final_female <- final %>% filter(gender == "F")
final_other <- final %>% filter(gender == "O")
colors <- c("#34BE82", "#FF7F3F", "#1746A2")
#MALe
ggplot(final_male, aes(x = age_group, fill = event)) +
geom_bar(position = 'dodge') +
labs(title = 'Offer event type by Age Group - Male',
x = 'Age Group',
y = 'Count',
fill = 'Event Type') +
theme_minimal() + scale_fill_manual(values = colors)+
theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))
#FEMALE
ggplot(final_female, aes(x = age_group, fill = event)) +
geom_bar(position = 'dodge') +
labs(title = 'Offer event type by Age Group - Female',
x = 'Age Group',
y = 'Count',
fill = 'Event Type') +
theme_minimal() +scale_fill_manual(values = colors)+
theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))
#OTHERS
ggplot(final_other, aes(x = age_group, fill = event)) +
geom_bar(position = 'dodge') +
labs(title = 'Offer event type by Age Group - Other',
x = 'Age Group',
y = 'Count',
fill = 'Event Type') +
theme_minimal() +scale_fill_manual(values = colors)+
theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))
ggplot(final, aes(x = age_group, fill = event)) +
geom_bar(position = 'dodge') +
labs(title = 'Offer Acceptance by Age Group',
x = 'Age Group',
y = 'Count',
fill = 'Event Type') +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))
contingency_table <- table(final$gender, final$age_group)
contingency_table
##
## 18-25ys 26-35ys 36-45ys 46-55ys 56-65ys 66-75ys 76-85ys > 86ys
## F 3196 4309 7232 14515 15637 10466 5496 2868
## M 7581 8724 12793 17936 17650 11491 5042 1679
## O 107 154 320 592 468 365 131 53
# Perform the chi-squared test
chi_squared_result <- chisq.test(contingency_table)
# View the result
print(chi_squared_result)
##
## Pearson's Chi-squared test
##
## data: contingency_table
## X-squared = 3304.6, df = 14, p-value < 2.2e-16
Null Hypothesis (H0): There is no association or relationship between the two categorical variables, “gender” and “age_group” In other words, they are independent of each other.
Alternative Hypothesis (H1): There is an association or relationship between the two categorical variables, “gender” and “age_group” They are not independent of each other.
P-Value: The p-value associated with the test statistic is less than 2.2e-16, which is essentially zero.
Given the extremely low p-value (essentially zero), we can conclude that there is a significant association or relationship between the two categorical variables tested in the chi-squared test (likely “gender” and “age_group”). In other words, we reject the null hypothesis (H0) that there is no association between these variables. Therefore, there is strong evidence to suggest that “gender” and “age_group” are not independent of each other, and there is a significant relationship between them.